{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\aesmith2\Dropbox\Work\research in progress\Under review_authoritarian masses and elites\Final version\Analysis\Replication log.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}24 Oct 2016, 02:07:38
{txt}
{com}. 
. ***************************************************************************************************************************************
. *************************************** DATA SETUP AND VARIABLE CODING **************************************************************** 
. 
. ********* Limit the analysis to Latin America and recode the Dominican Republic to make loops easier
. drop if pais > 21 // THE US AND CANADA WILL BE BROUGHT BACK IN FOR THE FIRST FIGURE
{txt}(12,376 observations deleted)

{com}. recode pais 21=18
{txt}(pais: 1512 changes made)

{com}.         lab def pais 18 "Dom. Rep.", modify
{txt}
{com}. xtset pais
{txt}{col 8}panel variable:  {res}pais (unbalanced)
{txt}
{com}. 
. ********* Code authoritarian parenting battery
. recode ab1 (1=0) (2=1) (3=.5), g(ab1r)
{txt}(14520 differences between ab1 and ab1r)

{com}. recode ab2 (1=1) (2=0) (3=.5), g(ab2r)
{txt}(4582 differences between ab2 and ab2r)

{com}. recode ab5 (1=0) (2=1) (3=.5), g(ab5r)
{txt}(14430 differences between ab5 and ab5r)

{com}. egen authoritarianism = rowmean(ab1r ab2r ab5r)
{txt}(14661 missing values generated)

{com}. tab1 authoritarianism

{res}-> tabulation of authoritarianism  

{txt}authoritari {c |}
      anism {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        285        1.95        1.95
{txt}   .1666667 {c |}{res}        111        0.76        2.71
{txt}        .25 {c |}{res}         10        0.07        2.78
{txt}   .3333333 {c |}{res}      1,023        7.01        9.79
{txt}         .5 {c |}{res}      1,985       13.60       23.39
{txt}   .6666667 {c |}{res}      3,628       24.86       48.25
{txt}        .75 {c |}{res}         25        0.17       48.42
{txt}   .8333333 {c |}{res}      1,518       10.40       58.82
{txt}          1 {c |}{res}      6,010       41.18      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     14,595      100.00
{txt}
{com}. lab var authoritarianism "Authoritarian Parenting"
{txt}
{com}. 
. *********************************************** Coding for authoritarian candidates
. ********* Coding "t-1" authoritarian candidates and elections. See supplemental material for more details.
. * Vote for candidate promoting mano dura policies (t-1)
. gen manodura=0 if pais == 2 | pais == 3 | pais == 4
{txt}(24,522 missing values generated)

{com}.         replace manodura=1 if inlist(vb3, 206, 203, 301, 406)
{txt}(1,150 real changes made)

{com}. * Vote for civil rights violating candidates at t-1 
. gen authcand=0 if pais == 5 | pais == 9 | pais == 11 | pais == 16 | pais == 10 | pais == 17
{txt}(18,529 missing values generated)

{com}.         replace authcand=1 if inlist(vb3,  502, 901, 1101, 1102, 1601, 1002, 1701)
{txt}(4,922 real changes made)

{com}. * Combination of BOTH mano dura and infringement on civil rights
. gen sumauthtmin=0 if manodura < . | authcand < .
{txt}(13,795 missing values generated)

{com}.         replace sumauthtmin=1 if manodura==1 | authcand==1
{txt}(6,072 real changes made)

{com}.         lab var sumauthtmin "Voted for Any Authoritarian Candidate t-1"
{txt}
{com}. gen sumauthcountrypast = (pais == 2 | pais == 3 | pais == 4 | pais == 5 | pais == 9 | pais == 11 | pais == 16 )
{txt}
{com}.         lab var sumauthcountrypast "Country with Authoritarian Candidate t-1"
{txt}
{com}. * Vote for Right Wing Authoritarian Leader
. gen rwaleader=0 if pais == 2 | pais == 3 | pais == 4 | pais == 11
{txt}(23,022 missing values generated)

{com}.         replace rwaleader=1 if inlist(vb3, 206, 203, 301, 406, 1102)
{txt}(1,485 real changes made)

{com}.         lab var rwaleader "Voted RWA Candidate t-1"
{txt}
{com}. * Vote for Left Wing Authoritarian Leader
. gen lwaleader=0 if pais == 5 | pais == 9 | pais == 11 | pais == 16 | pais == 10 | pais == 17
{txt}(18,529 missing values generated)

{com}.         replace lwaleader=1 if inlist(vb3,  502, 901, 1101, 1601, 1002, 1701)
{txt}(4,587 real changes made)

{com}.         lab var lwaleader "Voted LWA Candidate t-1"
{txt}
{com}. g lwacountrypast = (pais == 5 | pais == 9 | pais == 11 | pais == 16 | pais == 10 | pais == 17)
{txt}
{com}. *******************************************************
. 
. ********* Coding "t+1" authoritarian candidates and elections. See supplemental material for more details.
. /* Fujimori and MD candidate in El Salvador were in opposition, so can't be analyzed on VB20 */
. gen sumauthfutincumbent = 0
{txt}
{com}.         replace sumauthfutincumbent = inlist(pais, 1, 4, 5, 9, 10, 16)
{txt}(11,003 real changes made)

{com}.         lab var sumauthfutincumbent "Country with Authoritarian Incumbent t+1"
{txt}
{com}. **** Coding incumbent ideology, combined with authoritarianism (based on ideology of high-knowledge supporters)
. /* Given differential item functioning, in some countries there are so few supporters with knowledge scores of 3  
> that we also use supporters with knowledge scores of 2. */
. egen knowledge = anycount(gi1 gi4 gi7r1), values(1)
{txt}
{com}.         g highknowledge = 1 if knowledge == 3
{txt}(27,638 missing values generated)

{com}.         sort pais
{txt}
{com}.         by pais: egen numhighknowledge = count(highknowledge) 
{txt}
{com}.         drop highknowledge
{txt}
{com}. egen incumbentideology = mean(l1) if vb20 == 2 & (knowledge == 2 | knowledge == 3), by(pais)
{txt}(23955 missing values generated)

{com}.                 egen incumbentideology2 = mean(l1) if vb20 == 2 & knowledge == 3, by(pais)
{txt}(28783 missing values generated)

{com}.                 replace incumbentideology = incumbentideology2 if numhighknowledge >= 10
{txt}(4,215 real changes made, 3,743 to missing)

{com}.                 drop knowledge incumbentideology2 numhighknowledge
{txt}
{com}.         egen incumideol = mean(incumbentideology), by(pais)
{txt}
{com}.                 replace incumbentideology = incumideol
{txt}(27,698 real changes made)

{com}.                 drop incumideol
{txt}
{com}. egen countryideology = mean(l1), by(pais)
{txt}
{com}.         egen ci = mean(countryideology), by(pais)
{txt}
{com}.         replace countryideology = ci
{txt}(0 real changes made)

{com}.         drop ci
{txt}
{com}. g incumbentideology_diff = incumbentideology - countryideology
{txt}
{com}. recode incumbentideology_diff (-10/0 = 0) (.0000001/10 = 1), g(rightwingincumbent) 
{txt}(29256 differences between incumbentideology_diff and rightwingincumbent)

{com}. g future_rw_auth = rightwingincumbent == 1 & sumauthfutincumbent == 1
{txt}
{com}. g future_rw_nonauth = rightwingincumbent == 1 & sumauthfutincumbent == 0
{txt}
{com}. g future_lw_auth = rightwingincumbent == 0 & sumauthfutincumbent == 1
{txt}
{com}. g future_lw_nonauth = rightwingincumbent == 0 & sumauthfutincumbent == 0
{txt}
{com}. *********************************************** end coding of authoritarian candidates
. 
. ********************** Controls and correlates of authoritarian parenting
. recode l1 (1/3 = 1) (4/10 .a .b .= 0) , g(leftist)
{txt}(26586 differences between l1 and leftist)

{com}. recode l1 (8/10 = 1) (1/7 .a .b .= 0), g(rightist)
{txt}(29256 differences between l1 and rightist)

{com}. lab var leftist "Leftist"
{txt}
{com}. lab var rightist "Rightist"
{txt}
{com}. 
. factor ros2r ros3r ros4r ros6r
{txt}(obs=27,989)

Factor analysis/correlation{col 50}Number of obs    = {res}    27,989
{col 5}{txt}Method: principal factors{col 50}Retained factors =   {res}       1
{col 5}{txt}Rotation: (unrotated){col 50}Number of params =   {res}       4

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      2.08457      2.12067            1.1880       1.1880
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}     -0.03610      0.10456           -0.0206       1.1675
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}     -0.14067      0.01249           -0.0802       1.0873
{txt}{col 5}{ralign 11:Factor4}  {c |}{res}     -0.15316            .           -0.0873       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}6{txt})  ={res} 4.0e+04{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:ros2r}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6906}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5230}}}{space 1}
{space 4}{space 0}{ralign 12:ros3r}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7561}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4283}}}{space 1}
{space 4}{space 0}{ralign 12:ros4r}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6937}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5188}}}{space 1}
{space 4}{space 0}{ralign 12:ros6r}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7448}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4453}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}.         predict statist
{txt}(regression scoring assumed)

{p 0 0 2}Scoring coefficients (method = regression){p_end}

{space 4}{hline 13}{c  TT}{hline 10}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}
{space 4}{hline 13}{c   +}{hline 10}
{space 4}{space 0}{ralign 12:ros2r}{space 1}{c |}{space 1}{ralign 8:{res:{sf: 0.23793}}}{space 1}
{space 4}{space 0}{ralign 12:ros3r}{space 1}{c |}{space 1}{ralign 8:{res:{sf: 0.31284}}}{space 1}
{space 4}{space 0}{ralign 12:ros4r}{space 1}{c |}{space 1}{ralign 8:{res:{sf: 0.24108}}}{space 1}
{space 4}{space 0}{ralign 12:ros6r}{space 1}{c |}{space 1}{ralign 8:{res:{sf: 0.29727}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}


{com}. 
. replace mil5 = 4-mil5
{txt}(16,786 real changes made, 167 to missing)

{com}. replace q5a = 6-q5a
{txt}(23,681 real changes made, 546 to missing)

{com}. replace ing4 = (ing4-1)/6
{txt}variable {bf}ing4{sf} was {bf}{res}byte{sf}{txt} now {bf}{res}float{sf}
{txt}(29,256 real changes made, 1,568 to missing)

{com}. replace PSA5 = PSA5/100
{txt}(28,665 real changes made, 726 to missing)

{com}. replace quintall = (quintall-1)/4
{txt}variable {bf}quintall{sf} was {bf}{res}byte{sf}{txt} now {bf}{res}float{sf}
{txt}(29,256 real changes made, 34 to missing)

{com}. replace edr = edr/3
{txt}variable {bf}edr{sf} was {bf}{res}byte{sf}{txt} now {bf}{res}float{sf}
{txt}(28,080 real changes made, 210 to missing)

{com}. replace colorr = (colorr-1)/10
{txt}variable {bf}colorr{sf} was {bf}{res}byte{sf}{txt} now {bf}{res}float{sf}
{txt}(29,256 real changes made, 93 to missing)

{com}. 
. ***************************************************************************************************************************************
. ***************************************************************************************************************************************
. **************************************************************** ANALYSIS *************************************************************
. 
. ********* FIGURE 1. LEVELS OF AUTHORITARIANISM: Bring US and Canada data back
. preserve
{txt}
{com}.         use "C:\Users\aesmith2\Dropbox\Work\Data\LAPOP\Multiple country datasets\2012\AmericasBarometer Merged 2012 v50.0 English.dta", clear
{txt}(All data are copyrighted by LAPOP. For more info, run the command note list)

{com}.         ******* Code authoritarian parenting battery
.         recode ab1 (1=0) (2=1) (3=.5), g(ab1r)
{txt}(21507 differences between ab1 and ab1r)

{com}.         recode ab2 (1=1) (2=0) (3=.5), g(ab2r)
{txt}(6571 differences between ab2 and ab2r)

{com}.         recode ab5 (1=0) (2=1) (3=.5), g(ab5r)
{txt}(19909 differences between ab5 and ab5r)

{com}.         egen authoritarianism = rowmean(ab1r ab2r ab5r)
{txt}(20003 missing values generated)

{com}.         replace authoritarianism = authoritarianism*100
{txt}(21,162 real changes made)

{com}.         drop if pais > 21 & pais < 40
{txt}(9,375 observations deleted)

{com}.         lp_comparative authoritarianism pais, eng date(ʺ2012ʺ) version(Merged v50.0)
{res}svy, : mean authoritarianism  , over(pais)
{txt}
{com}. restore
{txt}
{com}. 
. ********* FIGURE 2. CONVERGENT VALIDATION
. foreach var in statist rightist w14a gen1 vb50 prot3r vol207 vol205 ing4 PSA5 mil5 e5 e15 e14 tol d6 d8 q5a {c -(}
{txt}  2{com}.         pcorr authoritarian `var' i.pais
{txt}  3{com}.         matrix a = (r(p_corr))'
{txt}  4{com}.         svmat a, names(v)
{txt}  5{com}.         forvalues i = 2/35 {c -(}
{txt}  6{com}.                 capture drop v`i'
{txt}  7{com}.         {c )-}
{txt}  8{com}.         rename v1 corrs_`var'
{txt}  9{com}. {c )-}
{txt}(obs=13977)

Partial and semipartial correlations of authoritarianism with

{col 16}Partial{col 26}Semipartial{col 43}Partial{col 53}Semipartial{col 67}Significance
   Variable {c |}{col 18}Corr.{col 32}Corr.{col 43}Corr.^2{col 57}Corr.^2{col 74}Value
{hline 12}{c +}{hline 65}
    statist {c |}{res}{col 15}  0.0753{col 29}  0.0725{col 42}  0.0057{col 56}  0.0053{col 71}  0.0000
    {txt}1b.pais {c |} (dropped)
     2.pais {c |}{res}{col 15}  0.0449{col 29}  0.0431{col 42}  0.0020{col 56}  0.0019{col 71}  0.0000
     {txt}3.pais {c |}{res}{col 15}  0.1145{col 29}  0.1107{col 42}  0.0131{col 56}  0.0122{col 71}  0.0000
     {txt}4.pais {c |}{res}{col 15}  0.0660{col 29}  0.0635{col 42}  0.0044{col 56}  0.0040{col 71}  0.0000
     {txt}5.pais {c |}{res}{col 15}  0.1035{col 29}  0.0999{col 42}  0.0107{col 56}  0.0100{col 71}  0.0000
     {txt}6.pais {c |}{res}{col 15}  0.0401{col 29}  0.0386{col 42}  0.0016{col 56}  0.0015{col 71}  0.0000
     {txt}7.pais {c |}{res}{col 15}  0.0619{col 29}  0.0596{col 42}  0.0038{col 56}  0.0035{col 71}  0.0000
     {txt}8.pais {c |}{res}{col 15}  0.0453{col 29}  0.0435{col 42}  0.0021{col 56}  0.0019{col 71}  0.0000
     {txt}9.pais {c |}{res}{col 15}  0.0305{col 29}  0.0293{col 42}  0.0009{col 56}  0.0009{col 71}  0.0003
    {txt}10.pais {c |}{res}{col 15}  0.0001{col 29}  0.0001{col 42}  0.0000{col 56}  0.0000{col 71}  0.9876
    {txt}11.pais {c |}{res}{col 15}  0.0062{col 29}  0.0060{col 42}  0.0000{col 56}  0.0000{col 71}  0.4615
    {txt}12.pais {c |}{res}{col 15}  0.0803{col 29}  0.0774{col 42}  0.0064{col 56}  0.0060{col 71}  0.0000
    {txt}13.pais {c |}{res}{col 15} -0.0220{col 29} -0.0212{col 42}  0.0005{col 56}  0.0004{col 71}  0.0092
    {txt}14.pais {c |}{res}{col 15} -0.0042{col 29} -0.0040{col 42}  0.0000{col 56}  0.0000{col 71}  0.6237
    {txt}15.pais {c |}{res}{col 15}  0.0585{col 29}  0.0563{col 42}  0.0034{col 56}  0.0032{col 71}  0.0000
    {txt}16.pais {c |}{res}{col 15}  0.0581{col 29}  0.0559{col 42}  0.0034{col 56}  0.0031{col 71}  0.0000
    {txt}17.pais {c |}{res}{col 15} -0.0109{col 29} -0.0105{col 42}  0.0001{col 56}  0.0001{col 71}  0.1980
    {txt}18.pais {c |}{res}{col 15}  0.1426{col 29}  0.1383{col 42}  0.0203{col 56}  0.0191{col 71}  0.0000
{txt}(obs=14595)

Partial and semipartial correlations of authoritarianism with

{col 16}Partial{col 26}Semipartial{col 43}Partial{col 53}Semipartial{col 67}Significance
   Variable {c |}{col 18}Corr.{col 32}Corr.{col 43}Corr.^2{col 57}Corr.^2{col 74}Value
{hline 12}{c +}{hline 65}
   rightist {c |}{res}{col 15}  0.0422{col 29}  0.0406{col 42}  0.0018{col 56}  0.0016{col 71}  0.0000
    {txt}1b.pais {c |} (dropped)
     2.pais {c |}{res}{col 15}  0.0460{col 29}  0.0443{col 42}  0.0021{col 56}  0.0020{col 71}  0.0000
     {txt}3.pais {c |}{res}{col 15}  0.1189{col 29}  0.1151{col 42}  0.0141{col 56}  0.0133{col 71}  0.0000
     {txt}4.pais {c |}{res}{col 15}  0.0641{col 29}  0.0618{col 42}  0.0041{col 56}  0.0038{col 71}  0.0000
     {txt}5.pais {c |}{res}{col 15}  0.1076{col 29}  0.1040{col 42}  0.0116{col 56}  0.0108{col 71}  0.0000
     {txt}6.pais {c |}{res}{col 15}  0.0410{col 29}  0.0395{col 42}  0.0017{col 56}  0.0016{col 71}  0.0000
     {txt}7.pais {c |}{res}{col 15}  0.0611{col 29}  0.0588{col 42}  0.0037{col 56}  0.0035{col 71}  0.0000
     {txt}8.pais {c |}{res}{col 15}  0.0472{col 29}  0.0454{col 42}  0.0022{col 56}  0.0021{col 71}  0.0000
     {txt}9.pais {c |}{res}{col 15}  0.0313{col 29}  0.0301{col 42}  0.0010{col 56}  0.0009{col 71}  0.0002
    {txt}10.pais {c |}{res}{col 15}  0.0022{col 29}  0.0021{col 42}  0.0000{col 56}  0.0000{col 71}  0.7951
    {txt}11.pais {c |}{res}{col 15}  0.0057{col 29}  0.0055{col 42}  0.0000{col 56}  0.0000{col 71}  0.4926
    {txt}12.pais {c |}{res}{col 15}  0.0850{col 29}  0.0821{col 42}  0.0072{col 56}  0.0067{col 71}  0.0000
    {txt}13.pais {c |}{res}{col 15} -0.0170{col 29} -0.0164{col 42}  0.0003{col 56}  0.0003{col 71}  0.0398
    {txt}14.pais {c |}{res}{col 15} -0.0006{col 29} -0.0006{col 42}  0.0000{col 56}  0.0000{col 71}  0.9415
    {txt}15.pais {c |}{res}{col 15}  0.0608{col 29}  0.0586{col 42}  0.0037{col 56}  0.0034{col 71}  0.0000
    {txt}16.pais {c |}{res}{col 15}  0.0544{col 29}  0.0523{col 42}  0.0030{col 56}  0.0027{col 71}  0.0000
    {txt}17.pais {c |}{res}{col 15} -0.0063{col 29} -0.0061{col 42}  0.0000{col 56}  0.0000{col 71}  0.4444
    {txt}18.pais {c |}{res}{col 15}  0.1448{col 29}  0.1407{col 42}  0.0210{col 56}  0.0198{col 71}  0.0000
{txt}(obs=13507)

Partial and semipartial correlations of authoritarianism with

{col 16}Partial{col 26}Semipartial{col 43}Partial{col 53}Semipartial{col 67}Significance
   Variable {c |}{col 18}Corr.{col 32}Corr.{col 43}Corr.^2{col 57}Corr.^2{col 74}Value
{hline 12}{c +}{hline 65}
       w14a {c |}{res}{col 15}  0.0367{col 29}  0.0353{col 42}  0.0013{col 56}  0.0012{col 71}  0.0000
    {txt}1b.pais {c |} (dropped)
     2.pais {c |}{res}{col 15}  0.0471{col 29}  0.0453{col 42}  0.0022{col 56}  0.0021{col 71}  0.0000
     {txt}3.pais {c |}{res}{col 15}  0.1199{col 29}  0.1160{col 42}  0.0144{col 56}  0.0135{col 71}  0.0000
     {txt}4.pais {c |}{res}{col 15}  0.0612{col 29}  0.0589{col 42}  0.0037{col 56}  0.0035{col 71}  0.0000
     {txt}5.pais {c |}{res}{col 15}  0.1092{col 29}  0.1056{col 42}  0.0119{col 56}  0.0112{col 71}  0.0000
     {txt}6.pais {c |}{res}{col 15}  0.0409{col 29}  0.0393{col 42}  0.0017{col 56}  0.0015{col 71}  0.0000
     {txt}7.pais {c |}{res}{col 15}  0.0625{col 29}  0.0602{col 42}  0.0039{col 56}  0.0036{col 71}  0.0000
     {txt}8.pais {c |}{res}{col 15}  0.0612{col 29}  0.0589{col 42}  0.0037{col 56}  0.0035{col 71}  0.0000
     {txt}9.pais {c |}{res}{col 15}  0.0305{col 29}  0.0293{col 42}  0.0009{col 56}  0.0009{col 71}  0.0004
    {txt}10.pais {c |}{res}{col 15}  0.0012{col 29}  0.0012{col 42}  0.0000{col 56}  0.0000{col 71}  0.8891
    {txt}11.pais {c |}{res}{col 15}  0.0044{col 29}  0.0042{col 42}  0.0000{col 56}  0.0000{col 71}  0.6091
    {txt}12.pais {c |}{res}{col 15}  0.0857{col 29}  0.0826{col 42}  0.0073{col 56}  0.0068{col 71}  0.0000
    {txt}13.pais {c |}{res}{col 15} -0.0165{col 29} -0.0159{col 42}  0.0003{col 56}  0.0003{col 71}  0.0549
    {txt}14.pais {c |}{res}{col 15} -0.0010{col 29} -0.0010{col 42}  0.0000{col 56}  0.0000{col 71}  0.9073
    {txt}15.pais {c |}{res}{col 15}  0.0651{col 29}  0.0627{col 42}  0.0042{col 56}  0.0039{col 71}  0.0000
    {txt}16.pais {c |}{res}{col 15}  0.0527{col 29}  0.0507{col 42}  0.0028{col 56}  0.0026{col 71}  0.0000
    {txt}17.pais {c |}{res}{col 15} -0.0026{col 29} -0.0025{col 42}  0.0000{col 56}  0.0000{col 71}  0.7640
    {txt}18.pais {c |}{res}{col 15}  0.1514{col 29}  0.1471{col 42}  0.0229{col 56}  0.0217{col 71}  0.0000
{txt}(obs=14277)

Partial and semipartial correlations of authoritarianism with

{col 16}Partial{col 26}Semipartial{col 43}Partial{col 53}Semipartial{col 67}Significance
   Variable {c |}{col 18}Corr.{col 32}Corr.{col 43}Corr.^2{col 57}Corr.^2{col 74}Value
{hline 12}{c +}{hline 65}
       gen1 {c |}{res}{col 15}  0.0769{col 29}  0.0740{col 42}  0.0059{col 56}  0.0055{col 71}  0.0000
    {txt}1b.pais {c |} (dropped)
     2.pais {c |}{res}{col 15}  0.0403{col 29}  0.0387{col 42}  0.0016{col 56}  0.0015{col 71}  0.0000
     {txt}3.pais {c |}{res}{col 15}  0.1191{col 29}  0.1151{col 42}  0.0142{col 56}  0.0132{col 71}  0.0000
     {txt}4.pais {c |}{res}{col 15}  0.0601{col 29}  0.0578{col 42}  0.0036{col 56}  0.0033{col 71}  0.0000
     {txt}5.pais {c |}{res}{col 15}  0.1063{col 29}  0.1026{col 42}  0.0113{col 56}  0.0105{col 71}  0.0000
     {txt}6.pais {c |}{res}{col 15}  0.0398{col 29}  0.0382{col 42}  0.0016{col 56}  0.0015{col 71}  0.0000
     {txt}7.pais {c |}{res}{col 15}  0.0644{col 29}  0.0620{col 42}  0.0042{col 56}  0.0038{col 71}  0.0000
     {txt}8.pais {c |}{res}{col 15}  0.0467{col 29}  0.0448{col 42}  0.0022{col 56}  0.0020{col 71}  0.0000
     {txt}9.pais {c |}{res}{col 15}  0.0282{col 29}  0.0271{col 42}  0.0008{col 56}  0.0007{col 71}  0.0007
    {txt}10.pais {c |}{res}{col 15} -0.0023{col 29} -0.0023{col 42}  0.0000{col 56}  0.0000{col 71}  0.7792
    {txt}11.pais {c |}{res}{col 15}  0.0041{col 29}  0.0039{col 42}  0.0000{col 56}  0.0000{col 71}  0.6282
    {txt}12.pais {c |}{res}{col 15}  0.0814{col 29}  0.0783{col 42}  0.0066{col 56}  0.0061{col 71}  0.0000
    {txt}13.pais {c |}{res}{col 15} -0.0208{col 29} -0.0200{col 42}  0.0004{col 56}  0.0004{col 71}  0.0129
    {txt}14.pais {c |}{res}{col 15}  0.0017{col 29}  0.0016{col 42}  0.0000{col 56}  0.0000{col 71}  0.8425
    {txt}15.pais {c |}{res}{col 15}  0.0632{col 29}  0.0607{col 42}  0.0040{col 56}  0.0037{col 71}  0.0000
    {txt}16.pais {c |}{res}{col 15}  0.0540{col 29}  0.0519{col 42}  0.0029{col 56}  0.0027{col 71}  0.0000
    {txt}17.pais {c |}{res}{col 15} -0.0065{col 29} -0.0062{col 42}  0.0000{col 56}  0.0000{col 71}  0.4385
    {txt}18.pais {c |}{res}{col 15}  0.1410{col 29}  0.1367{col 42}  0.0199{col 56}  0.0187{col 71}  0.0000
{txt}(obs=13880)

Partial and semipartial correlations of authoritarianism with

{col 16}Partial{col 26}Semipartial{col 43}Partial{col 53}Semipartial{col 67}Significance
   Variable {c |}{col 18}Corr.{col 32}Corr.{col 43}Corr.^2{col 57}Corr.^2{col 74}Value
{hline 12}{c +}{hline 65}
       vb50 {c |}{res}{col 15} -0.0567{col 29} -0.0546{col 42}  0.0032{col 56}  0.0030{col 71}  0.0000
    {txt}1b.pais {c |} (dropped)
     2.pais {c |}{res}{col 15}  0.0471{col 29}  0.0452{col 42}  0.0022{col 56}  0.0020{col 71}  0.0000
     {txt}3.pais {c |}{res}{col 15}  0.1183{col 29}  0.1144{col 42}  0.0140{col 56}  0.0131{col 71}  0.0000
     {txt}4.pais {c |}{res}{col 15}  0.0589{col 29}  0.0567{col 42}  0.0035{col 56}  0.0032{col 71}  0.0000
     {txt}5.pais {c |}{res}{col 15}  0.1090{col 29}  0.1053{col 42}  0.0119{col 56}  0.0111{col 71}  0.0000
     {txt}6.pais {c |}{res}{col 15}  0.0392{col 29}  0.0377{col 42}  0.0015{col 56}  0.0014{col 71}  0.0000
     {txt}7.pais {c |}{res}{col 15}  0.0653{col 29}  0.0628{col 42}  0.0043{col 56}  0.0039{col 71}  0.0000
     {txt}8.pais {c |}{res}{col 15}  0.0479{col 29}  0.0461{col 42}  0.0023{col 56}  0.0021{col 71}  0.0000
     {txt}9.pais {c |}{res}{col 15}  0.0341{col 29}  0.0327{col 42}  0.0012{col 56}  0.0011{col 71}  0.0001
    {txt}10.pais {c |}{res}{col 15} -0.0021{col 29} -0.0021{col 42}  0.0000{col 56}  0.0000{col 71}  0.8007
    {txt}11.pais {c |}{res}{col 15}  0.0023{col 29}  0.0022{col 42}  0.0000{col 56}  0.0000{col 71}  0.7877
    {txt}12.pais {c |}{res}{col 15}  0.0851{col 29}  0.0820{col 42}  0.0072{col 56}  0.0067{col 71}  0.0000
    {txt}13.pais {c |}{res}{col 15} -0.0196{col 29} -0.0188{col 42}  0.0004{col 56}  0.0004{col 71}  0.0211
    {txt}14.pais {c |}{res}{col 15} -0.0016{col 29} -0.0015{col 42}  0.0000{col 56}  0.0000{col 71}  0.8526
    {txt}15.pais {c |}{res}{col 15}  0.0635{col 29}  0.0611{col 42}  0.0040{col 56}  0.0037{col 71}  0.0000
    {txt}16.pais {c |}{res}{col 15}  0.0531{col 29}  0.0510{col 42}  0.0028{col 56}  0.0026{col 71}  0.0000
    {txt}17.pais {c |}{res}{col 15} -0.0105{col 29} -0.0101{col 42}  0.0001{col 56}  0.0001{col 71}  0.2175
    {txt}18.pais {c |}{res}{col 15}  0.1433{col 29}  0.1391{col 42}  0.0205{col 56}  0.0193{col 71}  0.0000
{txt}(obs=14531)

Partial and semipartial correlations of authoritarianism with

{col 16}Partial{col 26}Semipartial{col 43}Partial{col 53}Semipartial{col 67}Significance
   Variable {c |}{col 18}Corr.{col 32}Corr.{col 43}Corr.^2{col 57}Corr.^2{col 74}Value
{hline 12}{c +}{hline 65}
     prot3r {c |}{res}{col 15} -0.0641{col 29} -0.0617{col 42}  0.0041{col 56}  0.0038{col 71}  0.0000
    {txt}1b.pais {c |} (dropped)
     2.pais {c |}{res}{col 15}  0.0448{col 29}  0.0430{col 42}  0.0020{col 56}  0.0019{col 71}  0.0000
     {txt}3.pais {c |}{res}{col 15}  0.1199{col 29}  0.1159{col 42}  0.0144{col 56}  0.0134{col 71}  0.0000
     {txt}4.pais {c |}{res}{col 15}  0.0638{col 29}  0.0614{col 42}  0.0041{col 56}  0.0038{col 71}  0.0000
     {txt}5.pais {c |}{res}{col 15}  0.1091{col 29}  0.1054{col 42}  0.0119{col 56}  0.0111{col 71}  0.0000
     {txt}6.pais {c |}{res}{col 15}  0.0396{col 29}  0.0381{col 42}  0.0016{col 56}  0.0014{col 71}  0.0000
     {txt}7.pais {c |}{res}{col 15}  0.0614{col 29}  0.0590{col 42}  0.0038{col 56}  0.0035{col 71}  0.0000
     {txt}8.pais {c |}{res}{col 15}  0.0488{col 29}  0.0469{col 42}  0.0024{col 56}  0.0022{col 71}  0.0000
     {txt}9.pais {c |}{res}{col 15}  0.0294{col 29}  0.0282{col 42}  0.0009{col 56}  0.0008{col 71}  0.0004
    {txt}10.pais {c |}{res}{col 15}  0.0050{col 29}  0.0048{col 42}  0.0000{col 56}  0.0000{col 71}  0.5480
    {txt}11.pais {c |}{res}{col 15}  0.0074{col 29}  0.0071{col 42}  0.0001{col 56}  0.0001{col 71}  0.3729
    {txt}12.pais {c |}{res}{col 15}  0.0883{col 29}  0.0852{col 42}  0.0078{col 56}  0.0073{col 71}  0.0000
    {txt}13.pais {c |}{res}{col 15} -0.0183{col 29} -0.0176{col 42}  0.0003{col 56}  0.0003{col 71}  0.0273
    {txt}14.pais {c |}{res}{col 15} -0.0013{col 29} -0.0013{col 42}  0.0000{col 56}  0.0000{col 71}  0.8752
    {txt}15.pais {c |}{res}{col 15}  0.0597{col 29}  0.0575{col 42}  0.0036{col 56}  0.0033{col 71}  0.0000
    {txt}16.pais {c |}{res}{col 15}  0.0533{col 29}  0.0513{col 42}  0.0028{col 56}  0.0026{col 71}  0.0000
    {txt}17.pais {c |}{res}{col 15} -0.0075{col 29} -0.0072{col 42}  0.0001{col 56}  0.0001{col 71}  0.3650
    {txt}18.pais {c |}{res}{col 15}  0.1486{col 29}  0.1443{col 42}  0.0221{col 56}  0.0208{col 71}  0.0000
{txt}(obs=14442)

Partial and semipartial correlations of authoritarianism with

{col 16}Partial{col 26}Semipartial{col 43}Partial{col 53}Semipartial{col 67}Significance
   Variable {c |}{col 18}Corr.{col 32}Corr.{col 43}Corr.^2{col 57}Corr.^2{col 74}Value
{hline 12}{c +}{hline 65}
     vol207 {c |}{res}{col 15}  0.0460{col 29}  0.0442{col 42}  0.0021{col 56}  0.0020{col 71}  0.0000
    {txt}1b.pais {c |} (dropped)
     2.pais {c |}{res}{col 15}  0.0393{col 29}  0.0378{col 42}  0.0015{col 56}  0.0014{col 71}  0.0000
     {txt}3.pais {c |}{res}{col 15}  0.1140{col 29}  0.1104{col 42}  0.0130{col 56}  0.0122{col 71}  0.0000
     {txt}4.pais {c |}{res}{col 15}  0.0544{col 29}  0.0523{col 42}  0.0030{col 56}  0.0027{col 71}  0.0000
     {txt}5.pais {c |}{res}{col 15}  0.1036{col 29}  0.1001{col 42}  0.0107{col 56}  0.0100{col 71}  0.0000
     {txt}6.pais {c |}{res}{col 15}  0.0384{col 29}  0.0369{col 42}  0.0015{col 56}  0.0014{col 71}  0.0000
     {txt}7.pais {c |}{res}{col 15}  0.0578{col 29}  0.0556{col 42}  0.0033{col 56}  0.0031{col 71}  0.0000
     {txt}8.pais {c |}{res}{col 15}  0.0457{col 29}  0.0439{col 42}  0.0021{col 56}  0.0019{col 71}  0.0000
     {txt}9.pais {c |}{res}{col 15}  0.0278{col 29}  0.0267{col 42}  0.0008{col 56}  0.0007{col 71}  0.0009
    {txt}10.pais {c |}{res}{col 15} -0.0031{col 29} -0.0029{col 42}  0.0000{col 56}  0.0000{col 71}  0.7137
    {txt}11.pais {c |}{res}{col 15}  0.0038{col 29}  0.0037{col 42}  0.0000{col 56}  0.0000{col 71}  0.6439
    {txt}12.pais {c |}{res}{col 15}  0.0818{col 29}  0.0789{col 42}  0.0067{col 56}  0.0062{col 71}  0.0000
    {txt}13.pais {c |}{res}{col 15} -0.0182{col 29} -0.0175{col 42}  0.0003{col 56}  0.0003{col 71}  0.0290
    {txt}14.pais {c |}{res}{col 15} -0.0022{col 29} -0.0021{col 42}  0.0000{col 56}  0.0000{col 71}  0.7948
    {txt}15.pais {c |}{res}{col 15}  0.0570{col 29}  0.0549{col 42}  0.0032{col 56}  0.0030{col 71}  0.0000
    {txt}16.pais {c |}{res}{col 15}  0.0544{col 29}  0.0524{col 42}  0.0030{col 56}  0.0027{col 71}  0.0000
    {txt}17.pais {c |}{res}{col 15} -0.0076{col 29} -0.0073{col 42}  0.0001{col 56}  0.0001{col 71}  0.3593
    {txt}18.pais {c |}{res}{col 15}  0.1458{col 29}  0.1417{col 42}  0.0213{col 56}  0.0201{col 71}  0.0000
{txt}(obs=14178)

Partial and semipartial correlations of authoritarianism with

{col 16}Partial{col 26}Semipartial{col 43}Partial{col 53}Semipartial{col 67}Significance
   Variable {c |}{col 18}Corr.{col 32}Corr.{col 43}Corr.^2{col 57}Corr.^2{col 74}Value
{hline 12}{c +}{hline 65}
     vol205 {c |}{res}{col 15}  0.0652{col 29}  0.0628{col 42}  0.0043{col 56}  0.0039{col 71}  0.0000
    {txt}1b.pais {c |} (dropped)
     2.pais {c |}{res}{col 15}  0.0383{col 29}  0.0368{col 42}  0.0015{col 56}  0.0014{col 71}  0.0000
     {txt}3.pais {c |}{res}{col 15}  0.1120{col 29}  0.1083{col 42}  0.0126{col 56}  0.0117{col 71}  0.0000
     {txt}4.pais {c |}{res}{col 15}  0.0557{col 29}  0.0536{col 42}  0.0031{col 56}  0.0029{col 71}  0.0000
     {txt}5.pais {c |}{res}{col 15}  0.1053{col 29}  0.1017{col 42}  0.0111{col 56}  0.0104{col 71}  0.0000
     {txt}6.pais {c |}{res}{col 15}  0.0425{col 29}  0.0409{col 42}  0.0018{col 56}  0.0017{col 71}  0.0000
     {txt}7.pais {c |}{res}{col 15}  0.0693{col 29}  0.0667{col 42}  0.0048{col 56}  0.0045{col 71}  0.0000
     {txt}8.pais {c |}{res}{col 15}  0.0475{col 29}  0.0457{col 42}  0.0023{col 56}  0.0021{col 71}  0.0000
     {txt}9.pais {c |}{res}{col 15}  0.0287{col 29}  0.0276{col 42}  0.0008{col 56}  0.0008{col 71}  0.0006
    {txt}10.pais {c |}{res}{col 15} -0.0084{col 29} -0.0080{col 42}  0.0001{col 56}  0.0001{col 71}  0.3199
    {txt}11.pais {c |}{res}{col 15}  0.0015{col 29}  0.0015{col 42}  0.0000{col 56}  0.0000{col 71}  0.8557
    {txt}12.pais {c |}{res}{col 15}  0.0816{col 29}  0.0786{col 42}  0.0067{col 56}  0.0062{col 71}  0.0000
    {txt}13.pais {c |}{res}{col 15} -0.0153{col 29} -0.0147{col 42}  0.0002{col 56}  0.0002{col 71}  0.0683
    {txt}14.pais {c |}{res}{col 15}  0.0016{col 29}  0.0015{col 42}  0.0000{col 56}  0.0000{col 71}  0.8529
    {txt}15.pais {c |}{res}{col 15}  0.0594{col 29}  0.0571{col 42}  0.0035{col 56}  0.0033{col 71}  0.0000
    {txt}16.pais {c |}{res}{col 15}  0.0548{col 29}  0.0527{col 42}  0.0030{col 56}  0.0028{col 71}  0.0000
    {txt}17.pais {c |}{res}{col 15} -0.0056{col 29} -0.0053{col 42}  0.0000{col 56}  0.0000{col 71}  0.5076
    {txt}18.pais {c |}{res}{col 15}  0.1405{col 29}  0.1363{col 42}  0.0197{col 56}  0.0186{col 71}  0.0000
{txt}(obs=13812)

Partial and semipartial correlations of authoritarianism with

{col 16}Partial{col 26}Semipartial{col 43}Partial{col 53}Semipartial{col 67}Significance
   Variable {c |}{col 18}Corr.{col 32}Corr.{col 43}Corr.^2{col 57}Corr.^2{col 74}Value
{hline 12}{c +}{hline 65}
       ing4 {c |}{res}{col 15} -0.0078{col 29} -0.0075{col 42}  0.0001{col 56}  0.0001{col 71}  0.3615
    {txt}1b.pais {c |} (dropped)
     2.pais {c |}{res}{col 15}  0.0442{col 29}  0.0425{col 42}  0.0020{col 56}  0.0018{col 71}  0.0000
     {txt}3.pais {c |}{res}{col 15}  0.1191{col 29}  0.1154{col 42}  0.0142{col 56}  0.0133{col 71}  0.0000
     {txt}4.pais {c |}{res}{col 15}  0.0579{col 29}  0.0558{col 42}  0.0033{col 56}  0.0031{col 71}  0.0000
     {txt}5.pais {c |}{res}{col 15}  0.1104{col 29}  0.1069{col 42}  0.0122{col 56}  0.0114{col 71}  0.0000
     {txt}6.pais {c |}{res}{col 15}  0.0427{col 29}  0.0411{col 42}  0.0018{col 56}  0.0017{col 71}  0.0000
     {txt}7.pais {c |}{res}{col 15}  0.0657{col 29}  0.0633{col 42}  0.0043{col 56}  0.0040{col 71}  0.0000
     {txt}8.pais {c |}{res}{col 15}  0.0489{col 29}  0.0471{col 42}  0.0024{col 56}  0.0022{col 71}  0.0000
     {txt}9.pais {c |}{res}{col 15}  0.0276{col 29}  0.0266{col 42}  0.0008{col 56}  0.0007{col 71}  0.0012
    {txt}10.pais {c |}{res}{col 15}  0.0008{col 29}  0.0008{col 42}  0.0000{col 56}  0.0000{col 71}  0.9224
    {txt}11.pais {c |}{res}{col 15}  0.0064{col 29}  0.0061{col 42}  0.0000{col 56}  0.0000{col 71}  0.4534
    {txt}12.pais {c |}{res}{col 15}  0.0861{col 29}  0.0832{col 42}  0.0074{col 56}  0.0069{col 71}  0.0000
    {txt}13.pais {c |}{res}{col 15} -0.0209{col 29} -0.0202{col 42}  0.0004{col 56}  0.0004{col 71}  0.0139
    {txt}14.pais {c |}{res}{col 15} -0.0001{col 29} -0.0001{col 42}  0.0000{col 56}  0.0000{col 71}  0.9874
    {txt}15.pais {c |}{res}{col 15}  0.0620{col 29}  0.0598{col 42}  0.0038{col 56}  0.0036{col 71}  0.0000
    {txt}16.pais {c |}{res}{col 15}  0.0574{col 29}  0.0554{col 42}  0.0033{col 56}  0.0031{col 71}  0.0000
    {txt}17.pais {c |}{res}{col 15} -0.0040{col 29} -0.0039{col 42}  0.0000{col 56}  0.0000{col 71}  0.6364
    {txt}18.pais {c |}{res}{col 15}  0.1481{col 29}  0.1441{col 42}  0.0219{col 56}  0.0208{col 71}  0.0000
{txt}(obs=14259)

Partial and semipartial correlations of authoritarianism with

{col 16}Partial{col 26}Semipartial{col 43}Partial{col 53}Semipartial{col 67}Significance
   Variable {c |}{col 18}Corr.{col 32}Corr.{col 43}Corr.^2{col 57}Corr.^2{col 74}Value
{hline 12}{c +}{hline 65}
       PSA5 {c |}{res}{col 15}  0.0145{col 29}  0.0140{col 42}  0.0002{col 56}  0.0002{col 71}  0.0835
    {txt}1b.pais {c |} (dropped)
     2.pais {c |}{res}{col 15}  0.0430{col 29}  0.0414{col 42}  0.0018{col 56}  0.0017{col 71}  0.0000
     {txt}3.pais {c |}{res}{col 15}  0.1188{col 29}  0.1151{col 42}  0.0141{col 56}  0.0133{col 71}  0.0000
     {txt}4.pais {c |}{res}{col 15}  0.0621{col 29}  0.0599{col 42}  0.0039{col 56}  0.0036{col 71}  0.0000
     {txt}5.pais {c |}{res}{col 15}  0.1079{col 29}  0.1045{col 42}  0.0116{col 56}  0.0109{col 71}  0.0000
     {txt}6.pais {c |}{res}{col 15}  0.0401{col 29}  0.0386{col 42}  0.0016{col 56}  0.0015{col 71}  0.0000
     {txt}7.pais {c |}{res}{col 15}  0.0661{col 29}  0.0638{col 42}  0.0044{col 56}  0.0041{col 71}  0.0000
     {txt}8.pais {c |}{res}{col 15}  0.0462{col 29}  0.0445{col 42}  0.0021{col 56}  0.0020{col 71}  0.0000
     {txt}9.pais {c |}{res}{col 15}  0.0298{col 29}  0.0287{col 42}  0.0009{col 56}  0.0008{col 71}  0.0004
    {txt}10.pais {c |}{res}{col 15}  0.0000{col 29}  0.0000{col 42}  0.0000{col 56}  0.0000{col 71}  0.9978
    {txt}11.pais {c |}{res}{col 15}  0.0054{col 29}  0.0052{col 42}  0.0000{col 56}  0.0000{col 71}  0.5215
    {txt}12.pais {c |}{res}{col 15}  0.0829{col 29}  0.0801{col 42}  0.0069{col 56}  0.0064{col 71}  0.0000
    {txt}13.pais {c |}{res}{col 15} -0.0196{col 29} -0.0188{col 42}  0.0004{col 56}  0.0004{col 71}  0.0195
    {txt}14.pais {c |}{res}{col 15} -0.0013{col 29} -0.0013{col 42}  0.0000{col 56}  0.0000{col 71}  0.8759
    {txt}15.pais {c |}{res}{col 15}  0.0616{col 29}  0.0594{col 42}  0.0038{col 56}  0.0035{col 71}  0.0000
    {txt}16.pais {c |}{res}{col 15}  0.0550{col 29}  0.0530{col 42}  0.0030{col 56}  0.0028{col 71}  0.0000
    {txt}17.pais {c |}{res}{col 15} -0.0070{col 29} -0.0068{col 42}  0.0000{col 56}  0.0000{col 71}  0.4013
    {txt}18.pais {c |}{res}{col 15}  0.1490{col 29}  0.1450{col 42}  0.0222{col 56}  0.0210{col 71}  0.0000
{txt}(obs=14517)

Partial and semipartial correlations of authoritarianism with

{col 16}Partial{col 26}Semipartial{col 43}Partial{col 53}Semipartial{col 67}Significance
   Variable {c |}{col 18}Corr.{col 32}Corr.{col 43}Corr.^2{col 57}Corr.^2{col 74}Value
{hline 12}{c +}{hline 65}
       mil5 {c |}{res}{col 15}  0.0463{col 29}  0.0446{col 42}  0.0021{col 56}  0.0020{col 71}  0.0000
    {txt}1b.pais {c |} (dropped)
     2.pais {c |}{res}{col 15}  0.0418{col 29}  0.0403{col 42}  0.0017{col 56}  0.0016{col 71}  0.0000
     {txt}3.pais {c |}{res}{col 15}  0.1195{col 29}  0.1157{col 42}  0.0143{col 56}  0.0134{col 71}  0.0000
     {txt}4.pais {c |}{res}{col 15}  0.0617{col 29}  0.0595{col 42}  0.0038{col 56}  0.0035{col 71}  0.0000
     {txt}5.pais {c |}{res}{col 15}  0.1039{col 29}  0.1005{col 42}  0.0108{col 56}  0.0101{col 71}  0.0000
     {txt}6.pais {c |}{res}{col 15}  0.0369{col 29}  0.0355{col 42}  0.0014{col 56}  0.0013{col 71}  0.0000
     {txt}7.pais {c |}{res}{col 15}  0.0582{col 29}  0.0561{col 42}  0.0034{col 56}  0.0031{col 71}  0.0000
     {txt}8.pais {c |}{res}{col 15}  0.0470{col 29}  0.0453{col 42}  0.0022{col 56}  0.0020{col 71}  0.0000
     {txt}9.pais {c |}{res}{col 15}  0.0291{col 29}  0.0280{col 42}  0.0008{col 56}  0.0008{col 71}  0.0005
    {txt}10.pais {c |}{res}{col 15}  0.0019{col 29}  0.0018{col 42}  0.0000{col 56}  0.0000{col 71}  0.8169
    {txt}11.pais {c |}{res}{col 15}  0.0069{col 29}  0.0066{col 42}  0.0000{col 56}  0.0000{col 71}  0.4070
    {txt}12.pais {c |}{res}{col 15}  0.0856{col 29}  0.0827{col 42}  0.0073{col 56}  0.0068{col 71}  0.0000
    {txt}13.pais {c |}{res}{col 15} -0.0145{col 29} -0.0140{col 42}  0.0002{col 56}  0.0002{col 71}  0.0805
    {txt}14.pais {c |}{res}{col 15}  0.0007{col 29}  0.0007{col 42}  0.0000{col 56}  0.0000{col 71}  0.9290
    {txt}15.pais {c |}{res}{col 15}  0.0632{col 29}  0.0609{col 42}  0.0040{col 56}  0.0037{col 71}  0.0000
    {txt}16.pais {c |}{res}{col 15}  0.0534{col 29}  0.0514{col 42}  0.0028{col 56}  0.0026{col 71}  0.0000
    {txt}17.pais {c |}{res}{col 15} -0.0054{col 29} -0.0052{col 42}  0.0000{col 56}  0.0000{col 71}  0.5177
    {txt}18.pais {c |}{res}{col 15}  0.1467{col 29}  0.1426{col 42}  0.0215{col 56}  0.0203{col 71}  0.0000
{txt}(obs=14281)

Partial and semipartial correlations of authoritarianism with

{col 16}Partial{col 26}Semipartial{col 43}Partial{col 53}Semipartial{col 67}Significance
   Variable {c |}{col 18}Corr.{col 32}Corr.{col 43}Corr.^2{col 57}Corr.^2{col 74}Value
{hline 12}{c +}{hline 65}
         e5 {c |}{res}{col 15} -0.0472{col 29} -0.0455{col 42}  0.0022{col 56}  0.0021{col 71}  0.0000
    {txt}1b.pais {c |} (dropped)
     2.pais {c |}{res}{col 15}  0.0424{col 29}  0.0408{col 42}  0.0018{col 56}  0.0017{col 71}  0.0000
     {txt}3.pais {c |}{res}{col 15}  0.1178{col 29}  0.1140{col 42}  0.0139{col 56}  0.0130{col 71}  0.0000
     {txt}4.pais {c |}{res}{col 15}  0.0575{col 29}  0.0554{col 42}  0.0033{col 56}  0.0031{col 71}  0.0000
     {txt}5.pais {c |}{res}{col 15}  0.1119{col 29}  0.1082{col 42}  0.0125{col 56}  0.0117{col 71}  0.0000
     {txt}6.pais {c |}{res}{col 15}  0.0424{col 29}  0.0408{col 42}  0.0018{col 56}  0.0017{col 71}  0.0000
     {txt}7.pais {c |}{res}{col 15}  0.0634{col 29}  0.0611{col 42}  0.0040{col 56}  0.0037{col 71}  0.0000
     {txt}8.pais {c |}{res}{col 15}  0.0464{col 29}  0.0447{col 42}  0.0022{col 56}  0.0020{col 71}  0.0000
     {txt}9.pais {c |}{res}{col 15}  0.0269{col 29}  0.0259{col 42}  0.0007{col 56}  0.0007{col 71}  0.0013
    {txt}10.pais {c |}{res}{col 15}  0.0001{col 29}  0.0001{col 42}  0.0000{col 56}  0.0000{col 71}  0.9894
    {txt}11.pais {c |}{res}{col 15}  0.0058{col 29}  0.0056{col 42}  0.0000{col 56}  0.0000{col 71}  0.4871
    {txt}12.pais {c |}{res}{col 15}  0.0876{col 29}  0.0846{col 42}  0.0077{col 56}  0.0072{col 71}  0.0000
    {txt}13.pais {c |}{res}{col 15} -0.0195{col 29} -0.0188{col 42}  0.0004{col 56}  0.0004{col 71}  0.0199
    {txt}14.pais {c |}{res}{col 15}  0.0028{col 29}  0.0027{col 42}  0.0000{col 56}  0.0000{col 71}  0.7383
    {txt}15.pais {c |}{res}{col 15}  0.0616{col 29}  0.0594{col 42}  0.0038{col 56}  0.0035{col 71}  0.0000
    {txt}16.pais {c |}{res}{col 15}  0.0588{col 29}  0.0567{col 42}  0.0035{col 56}  0.0032{col 71}  0.0000
    {txt}17.pais {c |}{res}{col 15} -0.0067{col 29} -0.0065{col 42}  0.0000{col 56}  0.0000{col 71}  0.4219
    {txt}18.pais {c |}{res}{col 15}  0.1489{col 29}  0.1448{col 42}  0.0222{col 56}  0.0210{col 71}  0.0000
{txt}(obs=14373)

Partial and semipartial correlations of authoritarianism with

{col 16}Partial{col 26}Semipartial{col 43}Partial{col 53}Semipartial{col 67}Significance
   Variable {c |}{col 18}Corr.{col 32}Corr.{col 43}Corr.^2{col 57}Corr.^2{col 74}Value
{hline 12}{c +}{hline 65}
        e15 {c |}{res}{col 15} -0.0488{col 29} -0.0469{col 42}  0.0024{col 56}  0.0022{col 71}  0.0000
    {txt}1b.pais {c |} (dropped)
     2.pais {c |}{res}{col 15}  0.0456{col 29}  0.0438{col 42}  0.0021{col 56}  0.0019{col 71}  0.0000
     {txt}3.pais {c |}{res}{col 15}  0.1193{col 29}  0.1155{col 42}  0.0142{col 56}  0.0133{col 71}  0.0000
     {txt}4.pais {c |}{res}{col 15}  0.0608{col 29}  0.0585{col 42}  0.0037{col 56}  0.0034{col 71}  0.0000
     {txt}5.pais {c |}{res}{col 15}  0.1087{col 29}  0.1051{col 42}  0.0118{col 56}  0.0110{col 71}  0.0000
     {txt}6.pais {c |}{res}{col 15}  0.0415{col 29}  0.0399{col 42}  0.0017{col 56}  0.0016{col 71}  0.0000
     {txt}7.pais {c |}{res}{col 15}  0.0657{col 29}  0.0633{col 42}  0.0043{col 56}  0.0040{col 71}  0.0000
     {txt}8.pais {c |}{res}{col 15}  0.0503{col 29}  0.0484{col 42}  0.0025{col 56}  0.0023{col 71}  0.0000
     {txt}9.pais {c |}{res}{col 15}  0.0298{col 29}  0.0286{col 42}  0.0009{col 56}  0.0008{col 71}  0.0004
    {txt}10.pais {c |}{res}{col 15}  0.0029{col 29}  0.0028{col 42}  0.0000{col 56}  0.0000{col 71}  0.7290
    {txt}11.pais {c |}{res}{col 15}  0.0048{col 29}  0.0046{col 42}  0.0000{col 56}  0.0000{col 71}  0.5630
    {txt}12.pais {c |}{res}{col 15}  0.0891{col 29}  0.0860{col 42}  0.0079{col 56}  0.0074{col 71}  0.0000
    {txt}13.pais {c |}{res}{col 15} -0.0184{col 29} -0.0177{col 42}  0.0003{col 56}  0.0003{col 71}  0.0272
    {txt}14.pais {c |}{res}{col 15} -0.0003{col 29} -0.0002{col 42}  0.0000{col 56}  0.0000{col 71}  0.9754
    {txt}15.pais {c |}{res}{col 15}  0.0628{col 29}  0.0604{col 42}  0.0039{col 56}  0.0037{col 71}  0.0000
    {txt}16.pais {c |}{res}{col 15}  0.0571{col 29}  0.0549{col 42}  0.0033{col 56}  0.0030{col 71}  0.0000
    {txt}17.pais {c |}{res}{col 15} -0.0083{col 29} -0.0080{col 42}  0.0001{col 56}  0.0001{col 71}  0.3215
    {txt}18.pais {c |}{res}{col 15}  0.1517{col 29}  0.1475{col 42}  0.0230{col 56}  0.0218{col 71}  0.0000
{txt}(obs=14373)

Partial and semipartial correlations of authoritarianism with

{col 16}Partial{col 26}Semipartial{col 43}Partial{col 53}Semipartial{col 67}Significance
   Variable {c |}{col 18}Corr.{col 32}Corr.{col 43}Corr.^2{col 57}Corr.^2{col 74}Value
{hline 12}{c +}{hline 65}
        e14 {c |}{res}{col 15} -0.0501{col 29} -0.0482{col 42}  0.0025{col 56}  0.0023{col 71}  0.0000
    {txt}1b.pais {c |} (dropped)
     2.pais {c |}{res}{col 15}  0.0452{col 29}  0.0435{col 42}  0.0020{col 56}  0.0019{col 71}  0.0000
     {txt}3.pais {c |}{res}{col 15}  0.1174{col 29}  0.1137{col 42}  0.0138{col 56}  0.0129{col 71}  0.0000
     {txt}4.pais {c |}{res}{col 15}  0.0618{col 29}  0.0596{col 42}  0.0038{col 56}  0.0035{col 71}  0.0000
     {txt}5.pais {c |}{res}{col 15}  0.1058{col 29}  0.1023{col 42}  0.0112{col 56}  0.0105{col 71}  0.0000
     {txt}6.pais {c |}{res}{col 15}  0.0375{col 29}  0.0361{col 42}  0.0014{col 56}  0.0013{col 71}  0.0000
     {txt}7.pais {c |}{res}{col 15}  0.0648{col 29}  0.0624{col 42}  0.0042{col 56}  0.0039{col 71}  0.0000
     {txt}8.pais {c |}{res}{col 15}  0.0488{col 29}  0.0470{col 42}  0.0024{col 56}  0.0022{col 71}  0.0000
     {txt}9.pais {c |}{res}{col 15}  0.0296{col 29}  0.0285{col 42}  0.0009{col 56}  0.0008{col 71}  0.0004
    {txt}10.pais {c |}{res}{col 15} -0.0010{col 29} -0.0010{col 42}  0.0000{col 56}  0.0000{col 71}  0.9042
    {txt}11.pais {c |}{res}{col 15}  0.0045{col 29}  0.0043{col 42}  0.0000{col 56}  0.0000{col 71}  0.5879
    {txt}12.pais {c |}{res}{col 15}  0.0834{col 29}  0.0805{col 42}  0.0070{col 56}  0.0065{col 71}  0.0000
    {txt}13.pais {c |}{res}{col 15} -0.0176{col 29} -0.0169{col 42}  0.0003{col 56}  0.0003{col 71}  0.0354
    {txt}14.pais {c |}{res}{col 15} -0.0037{col 29} -0.0036{col 42}  0.0000{col 56}  0.0000{col 71}  0.6581
    {txt}15.pais {c |}{res}{col 15}  0.0609{col 29}  0.0586{col 42}  0.0037{col 56}  0.0034{col 71}  0.0000
    {txt}16.pais {c |}{res}{col 15}  0.0529{col 29}  0.0509{col 42}  0.0028{col 56}  0.0026{col 71}  0.0000
    {txt}17.pais {c |}{res}{col 15} -0.0105{col 29} -0.0101{col 42}  0.0001{col 56}  0.0001{col 71}  0.2093
    {txt}18.pais {c |}{res}{col 15}  0.1469{col 29}  0.1427{col 42}  0.0216{col 56}  0.0204{col 71}  0.0000
{txt}(obs=14005)

Partial and semipartial correlations of authoritarianism with

{col 16}Partial{col 26}Semipartial{col 43}Partial{col 53}Semipartial{col 67}Significance
   Variable {c |}{col 18}Corr.{col 32}Corr.{col 43}Corr.^2{col 57}Corr.^2{col 74}Value
{hline 12}{c +}{hline 65}
        tol {c |}{res}{col 15} -0.0664{col 29} -0.0639{col 42}  0.0044{col 56}  0.0041{col 71}  0.0000
    {txt}1b.pais {c |} (dropped)
     2.pais {c |}{res}{col 15}  0.0415{col 29}  0.0399{col 42}  0.0017{col 56}  0.0016{col 71}  0.0000
     {txt}3.pais {c |}{res}{col 15}  0.1155{col 29}  0.1116{col 42}  0.0133{col 56}  0.0125{col 71}  0.0000
     {txt}4.pais {c |}{res}{col 15}  0.0537{col 29}  0.0516{col 42}  0.0029{col 56}  0.0027{col 71}  0.0000
     {txt}5.pais {c |}{res}{col 15}  0.1123{col 29}  0.1085{col 42}  0.0126{col 56}  0.0118{col 71}  0.0000
     {txt}6.pais {c |}{res}{col 15}  0.0418{col 29}  0.0402{col 42}  0.0018{col 56}  0.0016{col 71}  0.0000
     {txt}7.pais {c |}{res}{col 15}  0.0657{col 29}  0.0632{col 42}  0.0043{col 56}  0.0040{col 71}  0.0000
     {txt}8.pais {c |}{res}{col 15}  0.0470{col 29}  0.0451{col 42}  0.0022{col 56}  0.0020{col 71}  0.0000
     {txt}9.pais {c |}{res}{col 15}  0.0271{col 29}  0.0260{col 42}  0.0007{col 56}  0.0007{col 71}  0.0013
    {txt}10.pais {c |}{res}{col 15} -0.0034{col 29} -0.0032{col 42}  0.0000{col 56}  0.0000{col 71}  0.6888
    {txt}11.pais {c |}{res}{col 15}  0.0008{col 29}  0.0007{col 42}  0.0000{col 56}  0.0000{col 71}  0.9270
    {txt}12.pais {c |}{res}{col 15}  0.0845{col 29}  0.0814{col 42}  0.0071{col 56}  0.0066{col 71}  0.0000
    {txt}13.pais {c |}{res}{col 15} -0.0209{col 29} -0.0201{col 42}  0.0004{col 56}  0.0004{col 71}  0.0134
    {txt}14.pais {c |}{res}{col 15}  0.0038{col 29}  0.0036{col 42}  0.0000{col 56}  0.0000{col 71}  0.6569
    {txt}15.pais {c |}{res}{col 15}  0.0621{col 29}  0.0597{col 42}  0.0039{col 56}  0.0036{col 71}  0.0000
    {txt}16.pais {c |}{res}{col 15}  0.0594{col 29}  0.0571{col 42}  0.0035{col 56}  0.0033{col 71}  0.0000
    {txt}17.pais {c |}{res}{col 15} -0.0049{col 29} -0.0047{col 42}  0.0000{col 56}  0.0000{col 71}  0.5632
    {txt}18.pais {c |}{res}{col 15}  0.1500{col 29}  0.1456{col 42}  0.0225{col 56}  0.0212{col 71}  0.0000
{txt}(obs=13969)

Partial and semipartial correlations of authoritarianism with

{col 16}Partial{col 26}Semipartial{col 43}Partial{col 53}Semipartial{col 67}Significance
   Variable {c |}{col 18}Corr.{col 32}Corr.{col 43}Corr.^2{col 57}Corr.^2{col 74}Value
{hline 12}{c +}{hline 65}
         d6 {c |}{res}{col 15} -0.1389{col 29} -0.1337{col 42}  0.0193{col 56}  0.0179{col 71}  0.0000
    {txt}1b.pais {c |} (dropped)
     2.pais {c |}{res}{col 15}  0.0270{col 29}  0.0257{col 42}  0.0007{col 56}  0.0007{col 71}  0.0015
     {txt}3.pais {c |}{res}{col 15}  0.0961{col 29}  0.0920{col 42}  0.0092{col 56}  0.0085{col 71}  0.0000
     {txt}4.pais {c |}{res}{col 15}  0.0390{col 29}  0.0373{col 42}  0.0015{col 56}  0.0014{col 71}  0.0000
     {txt}5.pais {c |}{res}{col 15}  0.0905{col 29}  0.0866{col 42}  0.0082{col 56}  0.0075{col 71}  0.0000
     {txt}6.pais {c |}{res}{col 15}  0.0228{col 29}  0.0218{col 42}  0.0005{col 56}  0.0005{col 71}  0.0070
     {txt}7.pais {c |}{res}{col 15}  0.0461{col 29}  0.0440{col 42}  0.0021{col 56}  0.0019{col 71}  0.0000
     {txt}8.pais {c |}{res}{col 15}  0.0417{col 29}  0.0398{col 42}  0.0017{col 56}  0.0016{col 71}  0.0000
     {txt}9.pais {c |}{res}{col 15}  0.0157{col 29}  0.0150{col 42}  0.0002{col 56}  0.0002{col 71}  0.0640
    {txt}10.pais {c |}{res}{col 15} -0.0120{col 29} -0.0115{col 42}  0.0001{col 56}  0.0001{col 71}  0.1547
    {txt}11.pais {c |}{res}{col 15} -0.0098{col 29} -0.0094{col 42}  0.0001{col 56}  0.0001{col 71}  0.2457
    {txt}12.pais {c |}{res}{col 15}  0.0665{col 29}  0.0636{col 42}  0.0044{col 56}  0.0040{col 71}  0.0000
    {txt}13.pais {c |}{res}{col 15} -0.0205{col 29} -0.0196{col 42}  0.0004{col 56}  0.0004{col 71}  0.0154
    {txt}14.pais {c |}{res}{col 15}  0.0140{col 29}  0.0134{col 42}  0.0002{col 56}  0.0002{col 71}  0.0978
    {txt}15.pais {c |}{res}{col 15}  0.0665{col 29}  0.0635{col 42}  0.0044{col 56}  0.0040{col 71}  0.0000
    {txt}16.pais {c |}{res}{col 15}  0.0402{col 29}  0.0384{col 42}  0.0016{col 56}  0.0015{col 71}  0.0000
    {txt}17.pais {c |}{res}{col 15} -0.0002{col 29} -0.0002{col 42}  0.0000{col 56}  0.0000{col 71}  0.9846
    {txt}18.pais {c |}{res}{col 15}  0.1324{col 29}  0.1274{col 42}  0.0175{col 56}  0.0162{col 71}  0.0000
{txt}(obs=13742)

Partial and semipartial correlations of authoritarianism with

{col 16}Partial{col 26}Semipartial{col 43}Partial{col 53}Semipartial{col 67}Significance
   Variable {c |}{col 18}Corr.{col 32}Corr.{col 43}Corr.^2{col 57}Corr.^2{col 74}Value
{hline 12}{c +}{hline 65}
         d8 {c |}{res}{col 15}  0.0213{col 29}  0.0205{col 42}  0.0005{col 56}  0.0004{col 71}  0.0128
    {txt}1b.pais {c |} (dropped)
     2.pais {c |}{res}{col 15}  0.0425{col 29}  0.0409{col 42}  0.0018{col 56}  0.0017{col 71}  0.0000
     {txt}3.pais {c |}{res}{col 15}  0.1188{col 29}  0.1151{col 42}  0.0141{col 56}  0.0132{col 71}  0.0000
     {txt}4.pais {c |}{res}{col 15}  0.0611{col 29}  0.0589{col 42}  0.0037{col 56}  0.0035{col 71}  0.0000
     {txt}5.pais {c |}{res}{col 15}  0.1113{col 29}  0.1077{col 42}  0.0124{col 56}  0.0116{col 71}  0.0000
     {txt}6.pais {c |}{res}{col 15}  0.0420{col 29}  0.0405{col 42}  0.0018{col 56}  0.0016{col 71}  0.0000
     {txt}7.pais {c |}{res}{col 15}  0.0708{col 29}  0.0682{col 42}  0.0050{col 56}  0.0047{col 71}  0.0000
     {txt}8.pais {c |}{res}{col 15}  0.0469{col 29}  0.0451{col 42}  0.0022{col 56}  0.0020{col 71}  0.0000
     {txt}9.pais {c |}{res}{col 15}  0.0322{col 29}  0.0310{col 42}  0.0010{col 56}  0.0010{col 71}  0.0002
    {txt}10.pais {c |}{res}{col 15}  0.0002{col 29}  0.0002{col 42}  0.0000{col 56}  0.0000{col 71}  0.9787
    {txt}11.pais {c |}{res}{col 15}  0.0076{col 29}  0.0073{col 42}  0.0001{col 56}  0.0001{col 71}  0.3733
    {txt}12.pais {c |}{res}{col 15}  0.0857{col 29}  0.0828{col 42}  0.0074{col 56}  0.0069{col 71}  0.0000
    {txt}13.pais {c |}{res}{col 15} -0.0168{col 29} -0.0161{col 42}  0.0003{col 56}  0.0003{col 71}  0.0496
    {txt}14.pais {c |}{res}{col 15} -0.0010{col 29} -0.0010{col 42}  0.0000{col 56}  0.0000{col 71}  0.9072
    {txt}15.pais {c |}{res}{col 15}  0.0636{col 29}  0.0613{col 42}  0.0040{col 56}  0.0038{col 71}  0.0000
    {txt}16.pais {c |}{res}{col 15}  0.0606{col 29}  0.0584{col 42}  0.0037{col 56}  0.0034{col 71}  0.0000
    {txt}17.pais {c |}{res}{col 15} -0.0035{col 29} -0.0033{col 42}  0.0000{col 56}  0.0000{col 71}  0.6856
    {txt}18.pais {c |}{res}{col 15}  0.1507{col 29}  0.1466{col 42}  0.0227{col 56}  0.0215{col 71}  0.0000
{txt}(obs=14309)

Partial and semipartial correlations of authoritarianism with

{col 16}Partial{col 26}Semipartial{col 43}Partial{col 53}Semipartial{col 67}Significance
   Variable {c |}{col 18}Corr.{col 32}Corr.{col 43}Corr.^2{col 57}Corr.^2{col 74}Value
{hline 12}{c +}{hline 65}
        q5a {c |}{res}{col 15}  0.0495{col 29}  0.0476{col 42}  0.0024{col 56}  0.0023{col 71}  0.0000
    {txt}1b.pais {c |} (dropped)
     2.pais {c |}{res}{col 15}  0.0399{col 29}  0.0384{col 42}  0.0016{col 56}  0.0015{col 71}  0.0000
     {txt}3.pais {c |}{res}{col 15}  0.1164{col 29}  0.1126{col 42}  0.0136{col 56}  0.0127{col 71}  0.0000
     {txt}4.pais {c |}{res}{col 15}  0.0602{col 29}  0.0580{col 42}  0.0036{col 56}  0.0034{col 71}  0.0000
     {txt}5.pais {c |}{res}{col 15}  0.1070{col 29}  0.1034{col 42}  0.0115{col 56}  0.0107{col 71}  0.0000
     {txt}6.pais {c |}{res}{col 15}  0.0396{col 29}  0.0381{col 42}  0.0016{col 56}  0.0015{col 71}  0.0000
     {txt}7.pais {c |}{res}{col 15}  0.0622{col 29}  0.0598{col 42}  0.0039{col 56}  0.0036{col 71}  0.0000
     {txt}8.pais {c |}{res}{col 15}  0.0454{col 29}  0.0437{col 42}  0.0021{col 56}  0.0019{col 71}  0.0000
     {txt}9.pais {c |}{res}{col 15}  0.0306{col 29}  0.0294{col 42}  0.0009{col 56}  0.0009{col 71}  0.0003
    {txt}10.pais {c |}{res}{col 15} -0.0031{col 29} -0.0030{col 42}  0.0000{col 56}  0.0000{col 71}  0.7093
    {txt}11.pais {c |}{res}{col 15}  0.0050{col 29}  0.0048{col 42}  0.0000{col 56}  0.0000{col 71}  0.5494
    {txt}12.pais {c |}{res}{col 15}  0.0845{col 29}  0.0815{col 42}  0.0071{col 56}  0.0066{col 71}  0.0000
    {txt}13.pais {c |}{res}{col 15} -0.0154{col 29} -0.0148{col 42}  0.0002{col 56}  0.0002{col 71}  0.0664
    {txt}14.pais {c |}{res}{col 15}  0.0027{col 29}  0.0026{col 42}  0.0000{col 56}  0.0000{col 71}  0.7504
    {txt}15.pais {c |}{res}{col 15}  0.0624{col 29}  0.0601{col 42}  0.0039{col 56}  0.0036{col 71}  0.0000
    {txt}16.pais {c |}{res}{col 15}  0.0577{col 29}  0.0556{col 42}  0.0033{col 56}  0.0031{col 71}  0.0000
    {txt}17.pais {c |}{res}{col 15} -0.0011{col 29} -0.0011{col 42}  0.0000{col 56}  0.0000{col 71}  0.8941
    {txt}18.pais {c |}{res}{col 15}  0.1471{col 29}  0.1429{col 42}  0.0216{col 56}  0.0204{col 71}  0.0000
{txt}
{com}. preserve
{txt}
{com}.         keep corrs*
{txt}
{com}.         drop in 2/29256
{txt}(29,255 observations deleted)

{com}.         xpose, varname clear
{txt}
{com}.         egen variable = ends(_varname), punct(corrs_) tail
{txt}
{com}.         replace variable = "Support for Social Welfare" in 1
{txt}variable {bf}variable{sf} was {bf}{res}str8{sf}{txt} now {bf}{res}str26{sf}
{txt}(1 real change made)

{com}.         replace variable = "Rightist" in 2
{txt}(1 real change made)

{com}.         replace variable = "Anti-Abortion" in 3
{txt}(1 real change made)

{com}.         replace variable = "Gender Inegalitarianism" in 4
{txt}(1 real change made)

{com}.         replace variable = "Support Women Leaders" in 5
{txt}(1 real change made)

{com}.         replace variable = "Protested" in 6
{txt}(1 real change made)

{com}.         replace variable = "Spanking Approval" in 7
{txt}(1 real change made)

{com}.         replace variable = "Torture Approval" in 8
{txt}(1 real change made)

{com}.         replace variable = "Support for Democracy" in 9
{txt}(1 real change made)

{com}.         replace variable = "Support for Political System" in 10
{txt}variable {bf}variable{sf} was {bf}{res}str26{sf}{txt} now {bf}{res}str28{sf}
{txt}(1 real change made)

{com}.         replace variable = "National Pride" in 11
{txt}(1 real change made)

{com}.         replace variable = "Approve Legal Protest" in 12
{txt}(1 real change made)

{com}.         replace variable = "Approve Protest Blocking Roads" in 13
{txt}variable {bf}variable{sf} was {bf}{res}str28{sf}{txt} now {bf}{res}str30{sf}
{txt}(1 real change made)

{com}.         replace variable = "Approve Protest Siezing Property" in 14
{txt}variable {bf}variable{sf} was {bf}{res}str30{sf}{txt} now {bf}{res}str32{sf}
{txt}(1 real change made)

{com}.         replace variable = "Political Tolerance" in 15
{txt}(1 real change made)

{com}.         replace variable = "Support for Gay Marriage" in 16
{txt}(1 real change made)

{com}.         replace variable = "Support State Media Restrictions" in 17
{txt}(1 real change made)

{com}.         replace variable = "Church Attendance" in 18
{txt}(1 real change made)

{com}.         g significant = (variable != "Support for Democracy")
{txt}
{com}.         drop _varname
{txt}
{com}.         sort v1
{txt}
{com}.         sencode variable, replace
{txt}
{com}.         save corrs.dta, replace
{txt}(note: file corrs.dta not found)
file corrs.dta saved

{com}. graph twoway (scatter v1 variable if significant == 1, mcolor(black) msymbol(O)) ///
>         (scatter v1 variable if significant == 0, mcolor(gs10) msymbol(T)), ///
>         xlabel(1(1)18, valuelabel angle(70) labsize(small)) xtitle("") yline(0, lcolor(gs10)) ///
>         ytitle("Partial Correlation between Variable" "and Authoritarian Parenting", margin(medium)) ysize(6.5) ///
>         legend(off) graphregion(lcolor(black) fcolor(white)) ///
>         note("Estimates represent partial correlation coefficients, after accounting" ///
>         "for country fixed effects. Black circles represent coefficients that are" ///
>         "statistically significant at p<.05. Analysis limited to Latin America." ///
>         "Source: AmericasBarometer by LAPOP 2012.", span) 
{res}{txt}
{com}. restore
{txt}
{com}. drop corrs*
{txt}
{com}. erase corrs.dta
{txt}
{com}.         
. ********* Table 1. RETROSPECTIVE VOTE CHOICE FOR right-wing and left-wing AUTHORITARIAN CANDIDATEs
. eststo clear
{txt}
{com}. foreach dv in sumauthtmin lwaleader rwaleader {c -(}
{txt}  2{com}.         svy: logit `dv' authoritarianism mujer edr quintall colorr i.pais
{txt}  3{com}.         eststo
{txt}  4{com}.         svy: logit `dv' authoritarianism rightist ing4 PSA5 mujer edr quintall colorr i.pais 
{txt}  5{com}.         eststo
{txt}  6{com}. {c )-}
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       61{txt}{col 49}Number of obs{col 67}= {res}     7,651
{txt}{col 1}Number of PSUs{col 20}= {res}      777{txt}{col 49}Population size{col 67}={res} 6,683.7021
{txt}{col 49}Design df{col 67}= {res}       716
{txt}{col 49}F({res}  13{txt},{res}    704{txt}){col 67}= {res}     42.47
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}  Linearized
{col 1}     sumauthtmin{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
authoritarianism {c |}{col 18}{res}{space 2} .2492427{col 30}{space 2} .1115522{col 41}{space 1}    2.23{col 50}{space 3}0.026{col 58}{space 4} .0302342{col 71}{space 3} .4682512
{txt}{space 11}mujer {c |}{col 18}{res}{space 2}-.0304602{col 30}{space 2} .0514458{col 41}{space 1}   -0.59{col 50}{space 3}0.554{col 58}{space 4}-.1314629{col 71}{space 3} .0705425
{txt}{space 13}edr {c |}{col 18}{res}{space 2}-.3420852{col 30}{space 2} .1130738{col 41}{space 1}   -3.03{col 50}{space 3}0.003{col 58}{space 4} -.564081{col 71}{space 3}-.1200894
{txt}{space 8}quintall {c |}{col 18}{res}{space 2}-.1985285{col 30}{space 2} .0836121{col 41}{space 1}   -2.37{col 50}{space 3}0.018{col 58}{space 4}-.3626827{col 71}{space 3}-.0343743
{txt}{space 10}colorr {c |}{col 18}{res}{space 2} .5809123{col 30}{space 2} .1972831{col 41}{space 1}    2.94{col 50}{space 3}0.003{col 58}{space 4} .1935898{col 71}{space 3} .9682348
{txt}{space 16} {c |}
{space 12}pais {c |}
{space 4}El Salvador  {c |}{col 18}{res}{space 2}-1.321893{col 30}{space 2} .1293608{col 41}{space 1}  -10.22{col 50}{space 3}0.000{col 58}{space 4}-1.575865{col 71}{space 3}-1.067921
{txt}{space 7}Honduras  {c |}{col 18}{res}{space 2}-1.344463{col 30}{space 2} .1298381{col 41}{space 1}  -10.35{col 50}{space 3}0.000{col 58}{space 4}-1.599372{col 71}{space 3}-1.089554
{txt}{space 6}Nicaragua  {c |}{col 18}{res}{space 2} .2592992{col 30}{space 2} .1259043{col 41}{space 1}    2.06{col 50}{space 3}0.040{col 58}{space 4} .0121136{col 71}{space 3} .5064849
{txt}{space 8}Ecuador  {c |}{col 18}{res}{space 2} .5254928{col 30}{space 2} .1212363{col 41}{space 1}    4.33{col 50}{space 3}0.000{col 58}{space 4} .2874717{col 71}{space 3} .7635139
{txt}{space 8}Bolivia  {c |}{col 18}{res}{space 2}-.3069254{col 30}{space 2} .1135629{col 41}{space 1}   -2.70{col 50}{space 3}0.007{col 58}{space 4}-.5298814{col 71}{space 3}-.0839693
{txt}{space 11}Peru  {c |}{col 18}{res}{space 2} .8738348{col 30}{space 2} .1200198{col 41}{space 1}    7.28{col 50}{space 3}0.000{col 58}{space 4} .6382021{col 71}{space 3} 1.109467
{txt}{space 6}Venezuela  {c |}{col 18}{res}{space 2} .0752209{col 30}{space 2} .1256485{col 41}{space 1}    0.60{col 50}{space 3}0.550{col 58}{space 4}-.1714625{col 71}{space 3} .3219044
{txt}{space 6}Argentina  {c |}{col 18}{res}{space 2} .4702201{col 30}{space 2} .1169339{col 41}{space 1}    4.02{col 50}{space 3}0.000{col 58}{space 4} .2406457{col 71}{space 3} .6997945
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-.4278117{col 30}{space 2} .1560159{col 41}{space 1}   -2.74{col 50}{space 3}0.006{col 58}{space 4} -.734115{col 71}{space 3}-.1215084
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)
(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       61{txt}{col 49}Number of obs{col 67}= {res}     7,120
{txt}{col 1}Number of PSUs{col 20}= {res}      777{txt}{col 49}Population size{col 67}={res} 6,242.5731
{txt}{col 49}Design df{col 67}= {res}       716
{txt}{col 49}F({res}  16{txt},{res}    701{txt}){col 67}= {res}     38.62
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}  Linearized
{col 1}     sumauthtmin{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
authoritarianism {c |}{col 18}{res}{space 2} .2462752{col 30}{space 2} .1151228{col 41}{space 1}    2.14{col 50}{space 3}0.033{col 58}{space 4} .0202565{col 71}{space 3} .4722938
{txt}{space 8}rightist {c |}{col 18}{res}{space 2}  .030649{col 30}{space 2}  .076189{col 41}{space 1}    0.40{col 50}{space 3}0.688{col 58}{space 4}-.1189317{col 71}{space 3} .1802296
{txt}{space 12}ing4 {c |}{col 18}{res}{space 2} .1355579{col 30}{space 2} .1042138{col 41}{space 1}    1.30{col 50}{space 3}0.194{col 58}{space 4}-.0690433{col 71}{space 3}  .340159
{txt}{space 12}PSA5 {c |}{col 18}{res}{space 2} 1.747822{col 30}{space 2} .1434356{col 41}{space 1}   12.19{col 50}{space 3}0.000{col 58}{space 4} 1.466218{col 71}{space 3} 2.029427
{txt}{space 11}mujer {c |}{col 18}{res}{space 2}-.0204514{col 30}{space 2} .0540685{col 41}{space 1}   -0.38{col 50}{space 3}0.705{col 58}{space 4}-.1266032{col 71}{space 3} .0857004
{txt}{space 13}edr {c |}{col 18}{res}{space 2}-.3447074{col 30}{space 2} .1176254{col 41}{space 1}   -2.93{col 50}{space 3}0.003{col 58}{space 4}-.5756393{col 71}{space 3}-.1137754
{txt}{space 8}quintall {c |}{col 18}{res}{space 2}-.2109662{col 30}{space 2} .0868013{col 41}{space 1}   -2.43{col 50}{space 3}0.015{col 58}{space 4}-.3813817{col 71}{space 3}-.0405506
{txt}{space 10}colorr {c |}{col 18}{res}{space 2} .4688214{col 30}{space 2} .2004106{col 41}{space 1}    2.34{col 50}{space 3}0.020{col 58}{space 4} .0753588{col 71}{space 3}  .862284
{txt}{space 16} {c |}
{space 12}pais {c |}
{space 4}El Salvador  {c |}{col 18}{res}{space 2}-1.416296{col 30}{space 2} .1366892{col 41}{space 1}  -10.36{col 50}{space 3}0.000{col 58}{space 4}-1.684656{col 71}{space 3}-1.147937
{txt}{space 7}Honduras  {c |}{col 18}{res}{space 2}-1.166096{col 30}{space 2} .1326564{col 41}{space 1}   -8.79{col 50}{space 3}0.000{col 58}{space 4}-1.426538{col 71}{space 3}-.9056542
{txt}{space 6}Nicaragua  {c |}{col 18}{res}{space 2} .0875587{col 30}{space 2} .1227488{col 41}{space 1}    0.71{col 50}{space 3}0.476{col 58}{space 4}-.1534319{col 71}{space 3} .3285493
{txt}{space 8}Ecuador  {c |}{col 18}{res}{space 2} .4855248{col 30}{space 2} .1238768{col 41}{space 1}    3.92{col 50}{space 3}0.000{col 58}{space 4} .2423196{col 71}{space 3}   .72873
{txt}{space 8}Bolivia  {c |}{col 18}{res}{space 2}-.3074841{col 30}{space 2} .1146253{col 41}{space 1}   -2.68{col 50}{space 3}0.007{col 58}{space 4}-.5325259{col 71}{space 3}-.0824422
{txt}{space 11}Peru  {c |}{col 18}{res}{space 2} .9095658{col 30}{space 2} .1239255{col 41}{space 1}    7.34{col 50}{space 3}0.000{col 58}{space 4}  .666265{col 71}{space 3} 1.152867
{txt}{space 6}Venezuela  {c |}{col 18}{res}{space 2}-.0543997{col 30}{space 2} .1225747{col 41}{space 1}   -0.44{col 50}{space 3}0.657{col 58}{space 4}-.2950485{col 71}{space 3} .1862491
{txt}{space 6}Argentina  {c |}{col 18}{res}{space 2}  .335523{col 30}{space 2} .1177535{col 41}{space 1}    2.85{col 50}{space 3}0.005{col 58}{space 4} .1043395{col 71}{space 3} .5667064
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-1.349772{col 30}{space 2} .1848095{col 41}{space 1}   -7.30{col 50}{space 3}0.000{col 58}{space 4}-1.712605{col 71}{space 3}-.9869384
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)
(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       43{txt}{col 49}Number of obs{col 67}= {res}     5,309
{txt}{col 1}Number of PSUs{col 20}= {res}      584{txt}{col 49}Population size{col 67}={res}  4,456.234
{txt}{col 49}Design df{col 67}= {res}       541
{txt}{col 49}F({res}  10{txt},{res}    532{txt}){col 67}= {res}     14.18
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}  Linearized
{col 1}       lwaleader{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
authoritarianism {c |}{col 18}{res}{space 2} .0614124{col 30}{space 2} .1271463{col 41}{space 1}    0.48{col 50}{space 3}0.629{col 58}{space 4}-.1883486{col 71}{space 3} .3111734
{txt}{space 11}mujer {c |}{col 18}{res}{space 2}-.0925823{col 30}{space 2} .0599962{col 41}{space 1}   -1.54{col 50}{space 3}0.123{col 58}{space 4}-.2104364{col 71}{space 3} .0252719
{txt}{space 13}edr {c |}{col 18}{res}{space 2}-.3094477{col 30}{space 2} .1370643{col 41}{space 1}   -2.26{col 50}{space 3}0.024{col 58}{space 4}-.5786911{col 71}{space 3}-.0402043
{txt}{space 8}quintall {c |}{col 18}{res}{space 2} -.318222{col 30}{space 2}   .09948{col 41}{space 1}   -3.20{col 50}{space 3}0.001{col 58}{space 4}-.5136363{col 71}{space 3}-.1228076
{txt}{space 10}colorr {c |}{col 18}{res}{space 2} 1.017618{col 30}{space 2} .2366087{col 41}{space 1}    4.30{col 50}{space 3}0.000{col 58}{space 4}  .552834{col 71}{space 3} 1.482403
{txt}{space 16} {c |}
{space 12}pais {c |}
{space 8}Ecuador  {c |}{col 18}{res}{space 2}  .258891{col 30}{space 2} .1379439{col 41}{space 1}    1.88{col 50}{space 3}0.061{col 58}{space 4}-.0120803{col 71}{space 3} .5298622
{txt}{space 8}Bolivia  {c |}{col 18}{res}{space 2}-.5923885{col 30}{space 2} .1297128{col 41}{space 1}   -4.57{col 50}{space 3}0.000{col 58}{space 4} -.847191{col 71}{space 3} -.337586
{txt}{space 11}Peru  {c |}{col 18}{res}{space 2}-.3778579{col 30}{space 2} .1373772{col 41}{space 1}   -2.75{col 50}{space 3}0.006{col 58}{space 4} -.647716{col 71}{space 3}-.1079998
{txt}{space 6}Venezuela  {c |}{col 18}{res}{space 2}-.1607835{col 30}{space 2}  .141782{col 41}{space 1}   -1.13{col 50}{space 3}0.257{col 58}{space 4}-.4392941{col 71}{space 3} .1177272
{txt}{space 6}Argentina  {c |}{col 18}{res}{space 2} .2453766{col 30}{space 2} .1344278{col 41}{space 1}    1.83{col 50}{space 3}0.069{col 58}{space 4}-.0186879{col 71}{space 3}  .509441
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-.1290982{col 30}{space 2} .1940362{col 41}{space 1}   -0.67{col 50}{space 3}0.506{col 58}{space 4} -.510255{col 71}{space 3} .2520585
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est3{txt} stored)
(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       43{txt}{col 49}Number of obs{col 67}= {res}     5,026
{txt}{col 1}Number of PSUs{col 20}= {res}      584{txt}{col 49}Population size{col 67}={res} 4,245.8812
{txt}{col 49}Design df{col 67}= {res}       541
{txt}{col 49}F({res}  13{txt},{res}    529{txt}){col 67}= {res}     23.54
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}  Linearized
{col 1}       lwaleader{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
authoritarianism {c |}{col 18}{res}{space 2}   .03971{col 30}{space 2} .1327081{col 41}{space 1}    0.30{col 50}{space 3}0.765{col 58}{space 4}-.2209763{col 71}{space 3} .3003964
{txt}{space 8}rightist {c |}{col 18}{res}{space 2}-.2978638{col 30}{space 2} .0903641{col 41}{space 1}   -3.30{col 50}{space 3}0.001{col 58}{space 4}-.4753713{col 71}{space 3}-.1203564
{txt}{space 12}ing4 {c |}{col 18}{res}{space 2} .1884738{col 30}{space 2} .1342069{col 41}{space 1}    1.40{col 50}{space 3}0.161{col 58}{space 4}-.0751567{col 71}{space 3} .4521042
{txt}{space 12}PSA5 {c |}{col 18}{res}{space 2} 2.137684{col 30}{space 2} .1664418{col 41}{space 1}   12.84{col 50}{space 3}0.000{col 58}{space 4} 1.810733{col 71}{space 3} 2.464636
{txt}{space 11}mujer {c |}{col 18}{res}{space 2}-.1078054{col 30}{space 2} .0642115{col 41}{space 1}   -1.68{col 50}{space 3}0.094{col 58}{space 4}-.2339398{col 71}{space 3}  .018329
{txt}{space 13}edr {c |}{col 18}{res}{space 2}-.2395842{col 30}{space 2} .1427635{col 41}{space 1}   -1.68{col 50}{space 3}0.094{col 58}{space 4}-.5200229{col 71}{space 3} .0408544
{txt}{space 8}quintall {c |}{col 18}{res}{space 2}-.3253502{col 30}{space 2} .1059697{col 41}{space 1}   -3.07{col 50}{space 3}0.002{col 58}{space 4}-.5335126{col 71}{space 3}-.1171878
{txt}{space 10}colorr {c |}{col 18}{res}{space 2} .8076964{col 30}{space 2} .2437283{col 41}{space 1}    3.31{col 50}{space 3}0.001{col 58}{space 4} .3289266{col 71}{space 3} 1.286466
{txt}{space 16} {c |}
{space 12}pais {c |}
{space 8}Ecuador  {c |}{col 18}{res}{space 2} .3913545{col 30}{space 2} .1392071{col 41}{space 1}    2.81{col 50}{space 3}0.005{col 58}{space 4} .1179018{col 71}{space 3} .6648072
{txt}{space 8}Bolivia  {c |}{col 18}{res}{space 2}-.4195797{col 30}{space 2} .1280078{col 41}{space 1}   -3.28{col 50}{space 3}0.001{col 58}{space 4} -.671033{col 71}{space 3}-.1681264
{txt}{space 11}Peru  {c |}{col 18}{res}{space 2}-.1897985{col 30}{space 2} .1381533{col 41}{space 1}   -1.37{col 50}{space 3}0.170{col 58}{space 4} -.461181{col 71}{space 3} .0815841
{txt}{space 6}Venezuela  {c |}{col 18}{res}{space 2}-.1324786{col 30}{space 2}  .135187{col 41}{space 1}   -0.98{col 50}{space 3}0.328{col 58}{space 4}-.3980343{col 71}{space 3}  .133077
{txt}{space 6}Argentina  {c |}{col 18}{res}{space 2} .2554387{col 30}{space 2} .1323805{col 41}{space 1}    1.93{col 50}{space 3}0.054{col 58}{space 4} -.004604{col 71}{space 3} .5154814
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-1.405959{col 30}{space 2} .2385845{col 41}{space 1}   -5.89{col 50}{space 3}0.000{col 58}{space 4}-1.874624{col 71}{space 3} -.937293
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est4{txt} stored)
(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       25{txt}{col 49}Number of obs{col 67}= {res}     3,088
{txt}{col 1}Number of PSUs{col 20}= {res}      303{txt}{col 49}Population size{col 67}={res} 2,973.4681
{txt}{col 49}Design df{col 67}= {res}       278
{txt}{col 49}F({res}   8{txt},{res}    271{txt}){col 67}= {res}     21.03
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}  Linearized
{col 1}       rwaleader{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
authoritarianism {c |}{col 18}{res}{space 2} .6283555{col 30}{space 2} .2052089{col 41}{space 1}    3.06{col 50}{space 3}0.002{col 58}{space 4} .2243948{col 71}{space 3} 1.032316
{txt}{space 11}mujer {c |}{col 18}{res}{space 2} .1001796{col 30}{space 2} .0847658{col 41}{space 1}    1.18{col 50}{space 3}0.238{col 58}{space 4}-.0666849{col 71}{space 3}  .267044
{txt}{space 13}edr {c |}{col 18}{res}{space 2}-.3390373{col 30}{space 2} .1749823{col 41}{space 1}   -1.94{col 50}{space 3}0.054{col 58}{space 4} -.683496{col 71}{space 3} .0054213
{txt}{space 8}quintall {c |}{col 18}{res}{space 2} .0734274{col 30}{space 2} .1364362{col 41}{space 1}    0.54{col 50}{space 3}0.591{col 58}{space 4}-.1951519{col 71}{space 3} .3420067
{txt}{space 10}colorr {c |}{col 18}{res}{space 2}-.5243446{col 30}{space 2} .3246174{col 41}{space 1}   -1.62{col 50}{space 3}0.107{col 58}{space 4}-1.163365{col 71}{space 3} .1146757
{txt}{space 16} {c |}
{space 12}pais {c |}
{space 4}El Salvador  {c |}{col 18}{res}{space 2}-1.408602{col 30}{space 2} .1304713{col 41}{space 1}  -10.80{col 50}{space 3}0.000{col 58}{space 4}-1.665439{col 71}{space 3}-1.151764
{txt}{space 7}Honduras  {c |}{col 18}{res}{space 2}-1.341685{col 30}{space 2} .1303226{col 41}{space 1}  -10.30{col 50}{space 3}0.000{col 58}{space 4} -1.59823{col 71}{space 3}-1.085141
{txt}{space 11}Peru  {c |}{col 18}{res}{space 2}-.7558572{col 30}{space 2} .1309203{col 41}{space 1}   -5.77{col 50}{space 3}0.000{col 58}{space 4}-1.013578{col 71}{space 3}-.4981363
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-.4910855{col 30}{space 2} .2414847{col 41}{space 1}   -2.03{col 50}{space 3}0.043{col 58}{space 4}-.9664563{col 71}{space 3}-.0157148
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est5{txt} stored)
(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       25{txt}{col 49}Number of obs{col 67}= {res}     2,812
{txt}{col 1}Number of PSUs{col 20}= {res}      303{txt}{col 49}Population size{col 67}={res}  2,714.692
{txt}{col 49}Design df{col 67}= {res}       278
{txt}{col 49}F({res}  11{txt},{res}    268{txt}){col 67}= {res}     18.14
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}  Linearized
{col 1}       rwaleader{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
authoritarianism {c |}{col 18}{res}{space 2} .6190462{col 30}{space 2} .2086299{col 41}{space 1}    2.97{col 50}{space 3}0.003{col 58}{space 4} .2083511{col 71}{space 3} 1.029741
{txt}{space 8}rightist {c |}{col 18}{res}{space 2} .6204616{col 30}{space 2} .1162409{col 41}{space 1}    5.34{col 50}{space 3}0.000{col 58}{space 4} .3916375{col 71}{space 3} .8492857
{txt}{space 12}ing4 {c |}{col 18}{res}{space 2}  .110538{col 30}{space 2} .1607593{col 41}{space 1}    0.69{col 50}{space 3}0.492{col 58}{space 4}-.2059221{col 71}{space 3} .4269981
{txt}{space 12}PSA5 {c |}{col 18}{res}{space 2} .2660382{col 30}{space 2} .2559566{col 41}{space 1}    1.04{col 50}{space 3}0.300{col 58}{space 4}-.2378211{col 71}{space 3} .7698974
{txt}{space 11}mujer {c |}{col 18}{res}{space 2} .1330988{col 30}{space 2} .0898005{col 41}{space 1}    1.48{col 50}{space 3}0.139{col 58}{space 4}-.0436766{col 71}{space 3} .3098741
{txt}{space 13}edr {c |}{col 18}{res}{space 2}-.3971474{col 30}{space 2} .1855667{col 41}{space 1}   -2.14{col 50}{space 3}0.033{col 58}{space 4}-.7624417{col 71}{space 3} -.031853
{txt}{space 8}quintall {c |}{col 18}{res}{space 2}-.0081121{col 30}{space 2} .1396593{col 41}{space 1}   -0.06{col 50}{space 3}0.954{col 58}{space 4}-.2830362{col 71}{space 3} .2668119
{txt}{space 10}colorr {c |}{col 18}{res}{space 2}-.4799174{col 30}{space 2} .3312109{col 41}{space 1}   -1.45{col 50}{space 3}0.148{col 58}{space 4}-1.131917{col 71}{space 3} .1720824
{txt}{space 16} {c |}
{space 12}pais {c |}
{space 4}El Salvador  {c |}{col 18}{res}{space 2}-1.546794{col 30}{space 2} .1319917{col 41}{space 1}  -11.72{col 50}{space 3}0.000{col 58}{space 4}-1.806624{col 71}{space 3}-1.286964
{txt}{space 7}Honduras  {c |}{col 18}{res}{space 2}-1.350019{col 30}{space 2} .1375421{col 41}{space 1}   -9.82{col 50}{space 3}0.000{col 58}{space 4}-1.620775{col 71}{space 3}-1.079263
{txt}{space 11}Peru  {c |}{col 18}{res}{space 2}  -.80862{col 30}{space 2} .1339723{col 41}{space 1}   -6.04{col 50}{space 3}0.000{col 58}{space 4}-1.072349{col 71}{space 3} -.544891
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-.6919298{col 30}{space 2}  .286143{col 41}{space 1}   -2.42{col 50}{space 3}0.016{col 58}{space 4}-1.255212{col 71}{space 3}-.1286476
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est6{txt} stored)

{com}. esttab, b(3) se(3) nopar nogaps star(* .05) keep(authoritarianism authoritarianism rightist ing4 PSA5 mujer edr quintall colorr _cons)
{res}
{txt}{hline 96}
{txt}                      (1)           (2)           (3)           (4)           (5)           (6) 
{txt}              sumauthtmin   sumauthtmin     lwaleader     lwaleader     rwaleader     rwaleader 
{txt}{hline 96}
{res}main                                                                                            {txt}
{txt}authoritar~m{res}        0.249*        0.246*        0.061         0.040         0.628*        0.619*{txt}
            {res}        0.112         0.115         0.127         0.133         0.205         0.209 {txt}
{txt}mujer       {res}       -0.030        -0.020        -0.093        -0.108         0.100         0.133 {txt}
            {res}        0.051         0.054         0.060         0.064         0.085         0.090 {txt}
{txt}edr         {res}       -0.342*       -0.345*       -0.309*       -0.240        -0.339        -0.397*{txt}
            {res}        0.113         0.118         0.137         0.143         0.175         0.186 {txt}
{txt}quintall    {res}       -0.199*       -0.211*       -0.318*       -0.325*        0.073        -0.008 {txt}
            {res}        0.084         0.087         0.099         0.106         0.136         0.140 {txt}
{txt}colorr      {res}        0.581*        0.469*        1.018*        0.808*       -0.524        -0.480 {txt}
            {res}        0.197         0.200         0.237         0.244         0.325         0.331 {txt}
{txt}rightist    {res}                      0.031                      -0.298*                      0.620*{txt}
            {res}                      0.076                       0.090                       0.116 {txt}
{txt}ing4        {res}                      0.136                       0.188                       0.111 {txt}
            {res}                      0.104                       0.134                       0.161 {txt}
{txt}PSA5        {res}                      1.748*                      2.138*                      0.266 {txt}
            {res}                      0.143                       0.166                       0.256 {txt}
{txt}_cons       {res}       -0.428*       -1.350*       -0.129        -1.406*       -0.491*       -0.692*{txt}
            {res}        0.156         0.185         0.194         0.239         0.241         0.286 {txt}
{txt}{hline 96}
{txt}N           {res}         7651          7120          5309          5026          3088          2812 {txt}
{txt}{hline 96}
{txt}Standard errors in second row
{txt}* p<.05

{com}. 
. 
. ******* Figure 3. Does authoritarianism matter differently for rightists and nonrightists?
. global results
{txt}
{com}. eststo clear
{txt}
{com}. foreach dv in lwaleader rwaleader {c -(}
{txt}  2{com}.         svy: logit `dv' c.authoritarianism##c.rightist ing4 PSA5 mujer edr quintall colorr i.pais 
{txt}  3{com}.                 est sto `dv'results
{txt}  4{com}.         forvalues i = 1/2 {c -(}
{txt}  5{com}.                 est restore `dv'results
{txt}  6{com}.                 tempvar a
{txt}  7{com}.                         g `a' = `i'-1                   
{txt}  8{com}.                 margins if rightist == `a', at((mean) _all authoritarianism=(0 .17 .33 .5 .67 .83 1)) post
{txt}  9{com}.                         parmest, saving(`dv'_`a', replace) idstr(`dv'_`a') flist(results)
{txt} 10{com}.                 drop `a'
{txt} 11{com}.         {c )-}
{txt} 12{com}. {c )-}
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       43{txt}{col 49}Number of obs{col 67}= {res}     5,026
{txt}{col 1}Number of PSUs{col 20}= {res}      584{txt}{col 49}Population size{col 67}={res} 4,245.8812
{txt}{col 49}Design df{col 67}= {res}       541
{txt}{col 49}F({res}  14{txt},{res}    528{txt}){col 67}= {res}     22.05
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}  Linearized
{col 1}                    lwaleader{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      t{col 63}   P>|t|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}authoritarianism {c |}{col 31}{res}{space 2}-.0663898{col 43}{space 2} .1419737{col 54}{space 1}   -0.47{col 63}{space 3}0.640{col 71}{space 4} -.345277{col 84}{space 3} .2124974
{txt}{space 21}rightist {c |}{col 31}{res}{space 2} -.815484{col 43}{space 2} .2626988{col 54}{space 1}   -3.10{col 63}{space 3}0.002{col 71}{space 4}-1.331519{col 84}{space 3}-.2994493
{txt}{space 29} {c |}
c.authoritarianism#c.rightist {c |}{col 31}{res}{space 2} .6826047{col 43}{space 2} .3367619{col 54}{space 1}    2.03{col 63}{space 3}0.043{col 71}{space 4} .0210835{col 84}{space 3} 1.344126
{txt}{space 29} {c |}
{space 25}ing4 {c |}{col 31}{res}{space 2} .1892789{col 43}{space 2} .1338099{col 54}{space 1}    1.41{col 63}{space 3}0.158{col 71}{space 4}-.0735717{col 84}{space 3} .4521294
{txt}{space 25}PSA5 {c |}{col 31}{res}{space 2} 2.134332{col 43}{space 2}  .166314{col 54}{space 1}   12.83{col 63}{space 3}0.000{col 71}{space 4} 1.807632{col 84}{space 3} 2.461032
{txt}{space 24}mujer {c |}{col 31}{res}{space 2}-.1058481{col 43}{space 2} .0641894{col 54}{space 1}   -1.65{col 63}{space 3}0.100{col 71}{space 4}-.2319391{col 84}{space 3} .0202429
{txt}{space 26}edr {c |}{col 31}{res}{space 2}-.2416458{col 43}{space 2} .1427643{col 54}{space 1}   -1.69{col 63}{space 3}0.091{col 71}{space 4}-.5220861{col 84}{space 3} .0387945
{txt}{space 21}quintall {c |}{col 31}{res}{space 2}-.3292632{col 43}{space 2} .1059212{col 54}{space 1}   -3.11{col 63}{space 3}0.002{col 71}{space 4}-.5373304{col 84}{space 3}-.1211959
{txt}{space 23}colorr {c |}{col 31}{res}{space 2} .8217178{col 43}{space 2} .2438445{col 54}{space 1}    3.37{col 63}{space 3}0.001{col 71}{space 4} .3427197{col 84}{space 3} 1.300716
{txt}{space 29} {c |}
{space 25}pais {c |}
{space 21}Ecuador  {c |}{col 31}{res}{space 2}  .395027{col 43}{space 2}   .13923{col 54}{space 1}    2.84{col 63}{space 3}0.005{col 71}{space 4} .1215293{col 84}{space 3} .6685247
{txt}{space 21}Bolivia  {c |}{col 31}{res}{space 2}-.4186156{col 43}{space 2} .1280913{col 54}{space 1}   -3.27{col 63}{space 3}0.001{col 71}{space 4}-.6702328{col 84}{space 3}-.1669984
{txt}{space 24}Peru  {c |}{col 31}{res}{space 2}-.1863269{col 43}{space 2} .1381765{col 54}{space 1}   -1.35{col 63}{space 3}0.178{col 71}{space 4}-.4577551{col 84}{space 3} .0851014
{txt}{space 19}Venezuela  {c |}{col 31}{res}{space 2}-.1247235{col 43}{space 2}  .135168{col 54}{space 1}   -0.92{col 63}{space 3}0.357{col 71}{space 4} -.390242{col 84}{space 3} .1407951
{txt}{space 19}Argentina  {c |}{col 31}{res}{space 2} .2564297{col 43}{space 2} .1326427{col 54}{space 1}    1.93{col 63}{space 3}0.054{col 71}{space 4}-.0041282{col 84}{space 3} .5169876
{txt}{space 29} {c |}
{space 24}_cons {c |}{col 31}{res}{space 2}-1.332433{col 43}{space 2} .2415867{col 54}{space 1}   -5.52{col 63}{space 3}0.000{col 71}{space 4}-1.806996{col 84}{space 3}-.8578696
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(results {stata estimates replay lwaleaderresults:lwaleaderresults} are active now)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     4,188
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(lwaleader), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:rightist}{space 8}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ing4}{space 12}{txt:=} {space 3}.7192741 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:PSA5}{space 12}{txt:=} {space 3}.5426677 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4392756 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 3}.6531004 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4964719 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3643233 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.pais}{space 10}{txt:=} {space 4}.160003 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.pais}{space 10}{txt:=} {space 3}.1652465 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.pais}{space 9}{txt:=} {space 4}.175583 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.1678107 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.pais}{space 9}{txt:=} {space 5}.15442 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.1769368 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 8}.17}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:rightist}{space 8}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ing4}{space 12}{txt:=} {space 3}.7192741 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:PSA5}{space 12}{txt:=} {space 3}.5426677 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4392756 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 3}.6531004 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4964719 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3643233 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.pais}{space 10}{txt:=} {space 4}.160003 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.pais}{space 10}{txt:=} {space 3}.1652465 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.pais}{space 9}{txt:=} {space 4}.175583 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.1678107 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.pais}{space 9}{txt:=} {space 5}.15442 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.1769368 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}  .470073{col 26}{space 2} .0273308{col 37}{space 1}   17.20{col 46}{space 3}0.000{col 54}{space 4} .4163855{col 67}{space 3} .5237606
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4672626{col 26}{space 2} .0217957{col 37}{space 1}   21.44{col 46}{space 3}0.000{col 54}{space 4}  .424448{col 67}{space 3} .5100771
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .4646193{col 26}{space 2} .0169013{col 37}{space 1}   27.49{col 46}{space 3}0.000{col 54}{space 4} .4314191{col 67}{space 3} .4978195
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .461813{col 26}{space 2} .0124441{col 37}{space 1}   37.11{col 46}{space 3}0.000{col 54}{space 4} .4373683{col 67}{space 3} .4862577
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .4590091{col 26}{space 2} .0098148{col 37}{space 1}   46.77{col 46}{space 3}0.000{col 54}{space 4} .4397294{col 67}{space 3} .4782889
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .4563726{col 26}{space 2} .0103412{col 37}{space 1}   44.13{col 46}{space 3}0.000{col 54}{space 4} .4360588{col 67}{space 3} .4766863
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .4535739{col 26}{space 2} .0136973{col 37}{space 1}   33.11{col 46}{space 3}0.000{col 54}{space 4} .4266675{col 67}{space 3} .4804803
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(note: file lwaleader___000000.dta not found)
file lwaleader___000000.dta saved
(results {stata estimates replay lwaleaderresults:lwaleaderresults} are active now)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       838
{txt}Model VCE{col 14}: {res}Linearized

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{p2col:Expression}:{space 1}{res:Pr(lwaleader), predict()}{p_end}
{p2colreset}{...}

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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}

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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}

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{p2colreset}{...}
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{p2colreset}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.1415359 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2737118{col 26}{space 2} .0486566{col 37}{space 1}    5.63{col 46}{space 3}0.000{col 54}{space 4} .1781328{col 67}{space 3} .3692907
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2950224{col 26}{space 2} .0407027{col 37}{space 1}    7.25{col 46}{space 3}0.000{col 54}{space 4} .2150677{col 67}{space 3} .3749771
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .3159342{col 26}{space 2} .0328806{col 37}{space 1}    9.61{col 46}{space 3}0.000{col 54}{space 4} .2513449{col 67}{space 3} .3805235
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3389978{col 26}{space 2} .0251096{col 37}{space 1}   13.50{col 46}{space 3}0.000{col 54}{space 4} .2896735{col 67}{space 3}  .388322
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .3628519{col 26}{space 2} .0202116{col 37}{space 1}   17.95{col 46}{space 3}0.000{col 54}{space 4} .3231491{col 67}{space 3} .4025547
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .3859395{col 26}{space 2} .0214645{col 37}{space 1}   17.98{col 46}{space 3}0.000{col 54}{space 4} .3437754{col 67}{space 3} .4281035
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .4110428{col 26}{space 2}  .028957{col 37}{space 1}   14.19{col 46}{space 3}0.000{col 54}{space 4} .3541609{col 67}{space 3} .4679247
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(note: file lwaleader___000001.dta not found)
file lwaleader___000001.dta saved
(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       25{txt}{col 49}Number of obs{col 67}= {res}     2,812
{txt}{col 1}Number of PSUs{col 20}= {res}      303{txt}{col 49}Population size{col 67}={res}  2,714.692
{txt}{col 49}Design df{col 67}= {res}       278
{txt}{col 49}F({res}  12{txt},{res}    267{txt}){col 67}= {res}     17.32
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}  Linearized
{col 1}                    rwaleader{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      t{col 63}   P>|t|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}authoritarianism {c |}{col 31}{res}{space 2} .6092081{col 43}{space 2} .2273996{col 54}{space 1}    2.68{col 63}{space 3}0.008{col 71}{space 4} .1615642{col 84}{space 3} 1.056852
{txt}{space 21}rightist {c |}{col 31}{res}{space 2} .5786412{col 43}{space 2} .3724185{col 54}{space 1}    1.55{col 63}{space 3}0.121{col 71}{space 4}-.1544773{col 84}{space 3}  1.31176
{txt}{space 29} {c |}
c.authoritarianism#c.rightist {c |}{col 31}{res}{space 2} .0523971{col 43}{space 2} .4364881{col 54}{space 1}    0.12{col 63}{space 3}0.905{col 71}{space 4}-.8068446{col 84}{space 3} .9116388
{txt}{space 29} {c |}
{space 25}ing4 {c |}{col 31}{res}{space 2} .1107578{col 43}{space 2} .1606391{col 54}{space 1}    0.69{col 63}{space 3}0.491{col 71}{space 4}-.2054657{col 84}{space 3} .4269812
{txt}{space 25}PSA5 {c |}{col 31}{res}{space 2} .2660034{col 43}{space 2} .2559341{col 54}{space 1}    1.04{col 63}{space 3}0.300{col 71}{space 4}-.2378117{col 84}{space 3} .7698184
{txt}{space 24}mujer {c |}{col 31}{res}{space 2} .1331622{col 43}{space 2} .0897882{col 54}{space 1}    1.48{col 63}{space 3}0.139{col 71}{space 4}-.0435889{col 84}{space 3} .3099133
{txt}{space 26}edr {c |}{col 31}{res}{space 2}-.3973801{col 43}{space 2} .1856227{col 54}{space 1}   -2.14{col 63}{space 3}0.033{col 71}{space 4}-.7627847{col 84}{space 3}-.0319754
{txt}{space 21}quintall {c |}{col 31}{res}{space 2}-.0077216{col 43}{space 2} .1399925{col 54}{space 1}   -0.06{col 63}{space 3}0.956{col 71}{space 4}-.2833016{col 84}{space 3} .2678585
{txt}{space 23}colorr {c |}{col 31}{res}{space 2}-.4794561{col 43}{space 2} .3314448{col 54}{space 1}   -1.45{col 63}{space 3}0.149{col 71}{space 4}-1.131917{col 84}{space 3} .1730043
{txt}{space 29} {c |}
{space 25}pais {c |}
{space 17}El Salvador  {c |}{col 31}{res}{space 2}-1.548673{col 43}{space 2} .1304536{col 54}{space 1}  -11.87{col 63}{space 3}0.000{col 71}{space 4}-1.805475{col 84}{space 3} -1.29187
{txt}{space 20}Honduras  {c |}{col 31}{res}{space 2}-1.350714{col 43}{space 2} .1370431{col 54}{space 1}   -9.86{col 63}{space 3}0.000{col 71}{space 4}-1.620488{col 84}{space 3} -1.08094
{txt}{space 24}Peru  {c |}{col 31}{res}{space 2}-.8087072{col 43}{space 2} .1339053{col 54}{space 1}   -6.04{col 63}{space 3}0.000{col 71}{space 4}-1.072304{col 84}{space 3}-.5451101
{txt}{space 29} {c |}
{space 24}_cons {c |}{col 31}{res}{space 2}-.6842679{col 43}{space 2} .2963034{col 54}{space 1}   -2.31{col 63}{space 3}0.022{col 71}{space 4}-1.267551{col 84}{space 3}-.1009845
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(results {stata estimates replay rwaleaderresults:rwaleaderresults} are active now)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     2,267
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(rwaleader), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:rightist}{space 8}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ing4}{space 12}{txt:=} {space 3}.6024146 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:PSA5}{space 12}{txt:=} {space 3}.4880089 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4061786 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 3}.5718614 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4953134 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3627442 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.pais}{space 10}{txt:=} {space 3}.2742745 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.pais}{space 10}{txt:=} {space 3}.2067817 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.pais}{space 10}{txt:=} {space 3}.2494298 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 4}.269514 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 8}.17}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:rightist}{space 8}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ing4}{space 12}{txt:=} {space 3}.6024146 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:PSA5}{space 12}{txt:=} {space 3}.4880089 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4061786 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 3}.5718614 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4953134 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3627442 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.pais}{space 10}{txt:=} {space 3}.2742745 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.pais}{space 10}{txt:=} {space 3}.2067817 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.pais}{space 10}{txt:=} {space 3}.2494298 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 4}.269514 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 8}.33}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:rightist}{space 8}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ing4}{space 12}{txt:=} {space 3}.6024146 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 9}.5}{p_end}
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{p2colreset}{...}
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{p2colreset}{...}

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{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1526792{col 26}{space 2} .0244892{col 37}{space 1}    6.23{col 46}{space 3}0.000{col 54}{space 4} .1044713{col 67}{space 3} .2008871
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .1665643{col 26}{space 2} .0212051{col 37}{space 1}    7.85{col 46}{space 3}0.000{col 54}{space 4} .1248213{col 67}{space 3} .2083073
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1805387{col 26}{space 2} .0176903{col 37}{space 1}   10.21{col 46}{space 3}0.000{col 54}{space 4} .1457148{col 67}{space 3} .2153626
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1963703{col 26}{space 2} .0137565{col 37}{space 1}   14.27{col 46}{space 3}0.000{col 54}{space 4} .1692902{col 67}{space 3} .2234504
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .2132289{col 26}{space 2} .0104617{col 37}{space 1}   20.38{col 46}{space 3}0.000{col 54}{space 4} .1926347{col 67}{space 3} .2338231
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .2300378{col 26}{space 2} .0099049{col 37}{space 1}   23.22{col 46}{space 3}0.000{col 54}{space 4} .2105396{col 67}{space 3}  .249536
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .2488916{col 26}{space 2} .0135055{col 37}{space 1}   18.43{col 46}{space 3}0.000{col 54}{space 4} .2223056{col 67}{space 3} .2754776
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(note: file rwaleader___000002.dta not found)
file rwaleader___000002.dta saved
(results {stata estimates replay rwaleaderresults:rwaleaderresults} are active now)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       545
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(rwaleader), predict()}{p_end}
{p2colreset}{...}

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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}

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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}

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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}

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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}

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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2col: }{space 2}{res:{txt:PSA5}{space 12}{txt:=} {space 3}.5317013 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4686159 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 4}.542315 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 4}.520802 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3504253 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.pais}{space 10}{txt:=} {space 3}.1408576 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.pais}{space 10}{txt:=} {space 3}.3994561 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.pais}{space 10}{txt:=} {space 3}.2159575 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.2437288 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 8}.83}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:rightist}{space 8}{txt:=} {space 10}1 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ing4}{space 12}{txt:=} {space 3}.6496868 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:PSA5}{space 12}{txt:=} {space 3}.5317013 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4686159 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 4}.542315 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 4}.520802 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3504253 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.pais}{space 10}{txt:=} {space 3}.1408576 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.pais}{space 10}{txt:=} {space 3}.3994561 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.pais}{space 10}{txt:=} {space 3}.2159575 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.2437288 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:rightist}{space 8}{txt:=} {space 10}1 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ing4}{space 12}{txt:=} {space 3}.6496868 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:PSA5}{space 12}{txt:=} {space 3}.5317013 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4686159 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 4}.542315 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 4}.520802 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3504253 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.pais}{space 10}{txt:=} {space 3}.1408576 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.pais}{space 10}{txt:=} {space 3}.3994561 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.pais}{space 10}{txt:=} {space 3}.2159575 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.2437288 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2100205{col 26}{space 2} .0576999{col 37}{space 1}    3.64{col 46}{space 3}0.000{col 54}{space 4} .0964364{col 67}{space 3} .3236047
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2292893{col 26}{space 2} .0499879{col 37}{space 1}    4.59{col 46}{space 3}0.000{col 54}{space 4} .1308864{col 67}{space 3} .3276921
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .2485292{col 26}{space 2} .0417992{col 37}{space 1}    5.95{col 46}{space 3}0.000{col 54}{space 4}  .166246{col 67}{space 3} .3308125
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2701229{col 26}{space 2} .0326526{col 37}{space 1}    8.27{col 46}{space 3}0.000{col 54}{space 4} .2058453{col 67}{space 3} .3344006
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .2928616{col 26}{space 2} .0246595{col 37}{space 1}   11.88{col 46}{space 3}0.000{col 54}{space 4} .2443185{col 67}{space 3} .3414047
{txt}{space 10}6  {c |}{col 14}{res}{space 2}  .315254{col 26}{space 2} .0219133{col 37}{space 1}   14.39{col 46}{space 3}0.000{col 54}{space 4} .2721169{col 67}{space 3} .3583911
{txt}{space 10}7  {c |}{col 14}{res}{space 2}  .340022{col 26}{space 2} .0277785{col 37}{space 1}   12.24{col 46}{space 3}0.000{col 54}{space 4}  .285339{col 67}{space 3} .3947049
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(note: file rwaleader___000003.dta not found)
file rwaleader___000003.dta saved

{com}. preserve
{txt}
{com}.         clear
{txt}
{com}.         append using $results
{txt}
{com}.         egen rightist = seq(), f(0) t(1) block(7)
{txt}
{com}.         egen leadertype = seq(), f(1) t(2) block(14)
{txt}
{com}.                 lab def leadertype 1 "Left-Wing Authoritarian Candidate" 2 "Right-Wing Authoritarian Candidate"
{txt}
{com}.                 lab val leadertype leadertype
{txt}
{com}.         egen authoritarianism = seq(), f(0) t(6) block(1)
{txt}
{com}.                 replace authoritarianism = authoritarianism/6
{txt}variable {bf}authoritarianism{sf} was {bf}{res}byte{sf}{txt} now {bf}{res}float{sf}
{txt}(24 real changes made)

{com}.         graph twoway (line estimate authoritarianism if leadertype == 1 & rightist == 0, lcolor(black)) ///
>                         (rspike min95 max95 authoritarianism if leadertype == 1 & rightist == 0, lcolor(black)) ///
>                         (line estimate authoritarianism if leadertype == 1 & rightist == 1, lcolor(gs8) lwidth(thick) lpattern(longdash)) ///
>                         (rspike min95 max95 authoritarianism if leadertype == 1 & rightist == 1, lcolor(black)), ///
>                 graphregion(fcolor(white) lcolor(white)) legend(off) title("Left-Wing Authoritarian Candidates", color(black) size(medlarge)) ///
>                 ytitle("Predicted Probability of Reporting" "Retrospective Vote for an Authoritarian Candidate", margin(small) size(medlarge)) ///
>                 ylabel(0(.1).5) xtitle("") ///
>                 text(.32 .8 "Rightists") text(.5 .8 "Non-Rightists") name(lwacands, replace)
{res}{txt}
{com}.         graph twoway (line estimate authoritarianism if leadertype == 2 & rightist == 0, lcolor(black)) ///
>                         (rspike min95 max95 authoritarianism if leadertype == 2 & rightist == 0, lcolor(black)) ///
>                         (line estimate authoritarianism if leadertype == 2 & rightist == 1, lcolor(gs8) lwidth(thick) lpattern(longdash)) ///
>                         (rspike min95 max95 authoritarianism if leadertype == 2 & rightist == 1, lcolor(black)), ///
>                 graphregion(fcolor(white) lcolor(white)) legend(off) title("Right-Wing Authoritarian Candidates", color(black) size(medlarge)) ///
>                 ytitle("") ylabel(0(.1).5, nolabel notick gmax) xtitle("") ///
>                 text(.35 .5 "Rightists") text(.15 .5 "Non-Rightists") name(rwacands, replace)
{res}{txt}
{com}. restore
{txt}
{com}. graph combine lwacands rwacands, col(2) ///
>         graphregion(fcolor(white) lcolor(black)) xsize(6.5) title("Authoritarianism", color(black) ring(1) pos(6) size(medium)) ///
>         note("Coefficients and 95% confidence intervals for predicted probabilities from model controlling for support for democracy, " ///
>         "support for political system, gender, education, wealth, and skin color. Source: AmericasBarometer 2012, v.50", span margin(small))
{res}{txt}
{com}. rm lwaleader___000000.dta
{txt}
{com}. rm lwaleader___000001.dta
{txt}
{com}. rm rwaleader___000002.dta
{txt}
{com}. rm rwaleader___000003.dta
{txt}
{com}. 
. 
. ******* Figure 4. Future voting behavior
. preserve
{txt}
{com}. label save pais using paislabel.do, replace
{txt}(note: file paislabel.do not found)
file paislabel.do saved

{com}. global results ""
{txt}
{com}. forvalues i = 1/18 {c -(}
{txt}  2{com}.         svy: mlogit vb20 authoritarianism mujer ed quintall colorr if pais == `i', baseoutcome(2) 
{txt}  3{com}.         parmest, format(estimate min90 max90 %8.2f) level(90) label saving(coeffs`i'.dta, replace) flist(results) idnum(`i')
{txt}  4{com}. {c )-}
{txt}(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}        4{txt}{col 49}Number of obs{col 67}= {res}       592
{txt}{col 1}Number of PSUs{col 20}= {res}      129{txt}{col 49}Population size{col 67}={res} 569.230753
{txt}{col 49}Design df{col 67}= {res}       125
{txt}{col 49}F({res}  15{txt},{res}    111{txt}){col 67}= {res}      2.25
{txt}{col 49}Prob > F{col 67}= {res}    0.0083

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .4019687{col 46}{space 2} .4954566{col 57}{space 1}    0.81{col 66}{space 3}0.419{col 74}{space 4}-.5786015{col 87}{space 3} 1.382539
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.3594245{col 46}{space 2} .2713673{col 57}{space 1}   -1.32{col 66}{space 3}0.188{col 74}{space 4}-.8964941{col 87}{space 3} .1776452
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0338721{col 46}{space 2} .0364877{col 57}{space 1}    0.93{col 66}{space 3}0.355{col 74}{space 4}-.0383416{col 87}{space 3} .1060859
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-1.156754{col 46}{space 2}  .423083{col 57}{space 1}   -2.73{col 66}{space 3}0.007{col 74}{space 4}-1.994087{col 87}{space 3}-.3194197
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-2.559937{col 46}{space 2}  1.08554{col 57}{space 1}   -2.36{col 66}{space 3}0.020{col 74}{space 4}-4.708354{col 87}{space 3}-.4115189
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} .2271141{col 46}{space 2} .7660029{col 57}{space 1}    0.30{col 66}{space 3}0.767{col 74}{space 4}-1.288901{col 87}{space 3} 1.743129
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}  -.08229{col 46}{space 2} .3664569{col 57}{space 1}   -0.22{col 66}{space 3}0.823{col 74}{space 4}-.8075537{col 87}{space 3} .6429738
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} -.366873{col 46}{space 2}  .183587{col 57}{space 1}   -2.00{col 66}{space 3}0.048{col 74}{space 4}-.7302144{col 87}{space 3}-.0035316
{txt}{space 30}ed {c |}{col 34}{res}{space 2}  .020373{col 46}{space 2} .0282377{col 57}{space 1}    0.72{col 66}{space 3}0.472{col 74}{space 4}-.0355128{col 87}{space 3} .0762588
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.8069715{col 46}{space 2} .3001593{col 57}{space 1}   -2.69{col 66}{space 3}0.008{col 74}{space 4}-1.401024{col 87}{space 3}-.2129189
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.7590998{col 46}{space 2}  .716815{col 57}{space 1}   -1.06{col 66}{space 3}0.292{col 74}{space 4}-2.177766{col 87}{space 3}  .659566
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}  1.06903{col 46}{space 2} .5970985{col 57}{space 1}    1.79{col 66}{space 3}0.076{col 74}{space 4}-.1127016{col 87}{space 3} 2.250762
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} 1.168988{col 46}{space 2}  .669174{col 57}{space 1}    1.75{col 66}{space 3}0.083{col 74}{space 4}-.1553905{col 87}{space 3} 2.493366
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.1325683{col 46}{space 2} .3576132{col 57}{space 1}   -0.37{col 66}{space 3}0.711{col 74}{space 4}-.8403292{col 87}{space 3} .5751925
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .1254975{col 46}{space 2} .0439634{col 57}{space 1}    2.85{col 66}{space 3}0.005{col 74}{space 4} .0384886{col 87}{space 3} .2125065
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .4998791{col 46}{space 2} .6169971{col 57}{space 1}    0.81{col 66}{space 3}0.419{col 74}{space 4}-.7212347{col 87}{space 3} 1.720993
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} .7171771{col 46}{space 2} 1.364069{col 57}{space 1}    0.53{col 66}{space 3}0.600{col 74}{space 4}-1.982486{col 87}{space 3}  3.41684
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-4.177482{col 46}{space 2} 1.034632{col 57}{space 1}   -4.04{col 66}{space 3}0.000{col 74}{space 4}-6.225147{col 87}{space 3}-2.129818
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(note: file coeffs1.dta not found)
file coeffs1.dta saved
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}        4{txt}{col 49}Number of obs{col 67}= {res}       658
{txt}{col 1}Number of PSUs{col 20}= {res}       72{txt}{col 49}Population size{col 67}={res} 654.075544
{txt}{col 49}Design df{col 67}= {res}        68
{txt}{col 49}F({res}  15{txt},{res}     54{txt}){col 67}= {res}      3.64
{txt}{col 49}Prob > F{col 67}= {res}    0.0002

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-1.254794{col 46}{space 2} .3596401{col 57}{space 1}   -3.49{col 66}{space 3}0.001{col 74}{space 4}-1.972444{col 87}{space 3}-.5371428
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .2071469{col 46}{space 2} .1951163{col 57}{space 1}    1.06{col 66}{space 3}0.292{col 74}{space 4}-.1822016{col 87}{space 3} .5964953
{txt}{space 30}ed {c |}{col 34}{res}{space 2}-.0310563{col 46}{space 2} .0271715{col 57}{space 1}   -1.14{col 66}{space 3}0.257{col 74}{space 4}-.0852762{col 87}{space 3} .0231636
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.4947972{col 46}{space 2} .3348874{col 57}{space 1}   -1.48{col 66}{space 3}0.144{col 74}{space 4}-1.163055{col 87}{space 3} .1734601
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}  3.20983{col 46}{space 2} 1.111035{col 57}{space 1}    2.89{col 66}{space 3}0.005{col 74}{space 4} .9927946{col 87}{space 3} 5.426865
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-.3796648{col 46}{space 2} .5526464{col 57}{space 1}   -0.69{col 66}{space 3}0.494{col 74}{space 4}-1.482454{col 87}{space 3} .7231239
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} -.693264{col 46}{space 2} .4385246{col 57}{space 1}   -1.58{col 66}{space 3}0.119{col 74}{space 4}-1.568326{col 87}{space 3} .1817982
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.0311556{col 46}{space 2} .1843098{col 57}{space 1}   -0.17{col 66}{space 3}0.866{col 74}{space 4}-.3989401{col 87}{space 3} .3366289
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0305283{col 46}{space 2} .0213451{col 57}{space 1}    1.43{col 66}{space 3}0.157{col 74}{space 4}-.0120651{col 87}{space 3} .0731217
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.0400666{col 46}{space 2} .3227904{col 57}{space 1}   -0.12{col 66}{space 3}0.902{col 74}{space 4}-.6841848{col 87}{space 3} .6040517
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} 1.304436{col 46}{space 2} .8435486{col 57}{space 1}    1.55{col 66}{space 3}0.127{col 74}{space 4}-.3788387{col 87}{space 3} 2.987711
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-.1867429{col 46}{space 2} .5004314{col 57}{space 1}   -0.37{col 66}{space 3}0.710{col 74}{space 4}-1.185338{col 87}{space 3} .8118524
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.0300928{col 46}{space 2} .8603641{col 57}{space 1}   -0.03{col 66}{space 3}0.972{col 74}{space 4}-1.746923{col 87}{space 3} 1.686737
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.5293259{col 46}{space 2} .4064705{col 57}{space 1}   -1.30{col 66}{space 3}0.197{col 74}{space 4}-1.340425{col 87}{space 3} .2817734
{txt}{space 30}ed {c |}{col 34}{res}{space 2} -.102771{col 46}{space 2} .0497913{col 57}{space 1}   -2.06{col 66}{space 3}0.043{col 74}{space 4} -.202128{col 87}{space 3}-.0034139
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .4081759{col 46}{space 2} .6391667{col 57}{space 1}    0.64{col 66}{space 3}0.525{col 74}{space 4}-.8672613{col 87}{space 3} 1.683613
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.9591869{col 46}{space 2} 1.757919{col 57}{space 1}   -0.55{col 66}{space 3}0.587{col 74}{space 4}-4.467059{col 87}{space 3} 2.548686
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-1.122559{col 46}{space 2} .8785354{col 57}{space 1}   -1.28{col 66}{space 3}0.206{col 74}{space 4}-2.875649{col 87}{space 3} .6305309
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(note: file coeffs2.dta not found)
file coeffs2.dta saved
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}        5{txt}{col 49}Number of obs{col 67}= {res}       634
{txt}{col 1}Number of PSUs{col 20}= {res}       53{txt}{col 49}Population size{col 67}={res} 635.270553
{txt}{col 49}Design df{col 67}= {res}        48
{txt}{col 49}F({res}  15{txt},{res}     34{txt}){col 67}= {res}      2.01
{txt}{col 49}Prob > F{col 67}= {res}    0.0453

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .0554885{col 46}{space 2} .5972579{col 57}{space 1}    0.09{col 66}{space 3}0.926{col 74}{space 4}-1.145379{col 87}{space 3} 1.256356
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .5762639{col 46}{space 2} .2163503{col 57}{space 1}    2.66{col 66}{space 3}0.010{col 74}{space 4} .1412623{col 87}{space 3} 1.011265
{txt}{space 30}ed {c |}{col 34}{res}{space 2}  .002506{col 46}{space 2} .0240382{col 57}{space 1}    0.10{col 66}{space 3}0.917{col 74}{space 4} -.045826{col 87}{space 3} .0508379
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.3465521{col 46}{space 2} .3048854{col 57}{space 1}   -1.14{col 66}{space 3}0.261{col 74}{space 4}-.9595653{col 87}{space 3}  .266461
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} -1.34484{col 46}{space 2} .9017433{col 57}{space 1}   -1.49{col 66}{space 3}0.142{col 74}{space 4}-3.157916{col 87}{space 3} .4682365
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-.1421091{col 46}{space 2} .6818283{col 57}{space 1}   -0.21{col 66}{space 3}0.836{col 74}{space 4}-1.513017{col 87}{space 3} 1.228799
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .0468328{col 46}{space 2}   .58379{col 57}{space 1}    0.08{col 66}{space 3}0.936{col 74}{space 4}-1.126956{col 87}{space 3} 1.220621
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .6093457{col 46}{space 2} .1586398{col 57}{space 1}    3.84{col 66}{space 3}0.000{col 74}{space 4}  .290379{col 87}{space 3} .9283124
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0262258{col 46}{space 2}  .021179{col 57}{space 1}    1.24{col 66}{space 3}0.222{col 74}{space 4}-.0163573{col 87}{space 3}  .068809
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .2713083{col 46}{space 2} .2962845{col 57}{space 1}    0.92{col 66}{space 3}0.364{col 74}{space 4}-.3244116{col 87}{space 3} .8670281
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.4603358{col 46}{space 2}  .736272{col 57}{space 1}   -0.63{col 66}{space 3}0.535{col 74}{space 4} -1.94071{col 87}{space 3} 1.020038
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-.3700531{col 46}{space 2} .6110715{col 57}{space 1}   -0.61{col 66}{space 3}0.548{col 74}{space 4}-1.598695{col 87}{space 3} .8585885
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.5759739{col 46}{space 2} .8124735{col 57}{space 1}   -0.71{col 66}{space 3}0.482{col 74}{space 4}-2.209561{col 87}{space 3} 1.057613
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.1634995{col 46}{space 2} .2881989{col 57}{space 1}   -0.57{col 66}{space 3}0.573{col 74}{space 4}-.7429622{col 87}{space 3} .4159631
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0232526{col 46}{space 2} .0322204{col 57}{space 1}    0.72{col 66}{space 3}0.474{col 74}{space 4}-.0415309{col 87}{space 3}  .088036
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-1.510512{col 46}{space 2} .5119025{col 57}{space 1}   -2.95{col 66}{space 3}0.005{col 74}{space 4}-2.539761{col 87}{space 3} -.481263
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.9956053{col 46}{space 2} 1.264537{col 57}{space 1}   -0.79{col 66}{space 3}0.435{col 74}{space 4}-3.538126{col 87}{space 3} 1.546916
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} .1254119{col 46}{space 2} 1.109905{col 57}{space 1}    0.11{col 66}{space 3}0.911{col 74}{space 4}-2.106202{col 87}{space 3} 2.357026
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(note: file coeffs3.dta not found)
file coeffs3.dta saved
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}        9{txt}{col 49}Number of obs{col 67}= {res}       754
{txt}{col 1}Number of PSUs{col 20}= {res}       68{txt}{col 49}Population size{col 67}={res} 652.480112
{txt}{col 49}Design df{col 67}= {res}        59
{txt}{col 49}F({res}  15{txt},{res}     45{txt}){col 67}= {res}      1.66
{txt}{col 49}Prob > F{col 67}= {res}    0.0948

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .1321866{col 46}{space 2} .4762273{col 57}{space 1}    0.28{col 66}{space 3}0.782{col 74}{space 4} -.820742{col 87}{space 3} 1.085115
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.2705779{col 46}{space 2} .2114501{col 57}{space 1}   -1.28{col 66}{space 3}0.206{col 74}{space 4}-.6936886{col 87}{space 3} .1525328
{txt}{space 30}ed {c |}{col 34}{res}{space 2}-.0290391{col 46}{space 2} .0242368{col 57}{space 1}   -1.20{col 66}{space 3}0.236{col 74}{space 4}-.0775367{col 87}{space 3} .0194586
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .1489923{col 46}{space 2} .3028281{col 57}{space 1}    0.49{col 66}{space 3}0.625{col 74}{space 4}-.4569653{col 87}{space 3} .7549499
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.6882364{col 46}{space 2}  .650127{col 57}{space 1}   -1.06{col 66}{space 3}0.294{col 74}{space 4}-1.989138{col 87}{space 3} .6126648
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} 1.611835{col 46}{space 2} .5373857{col 57}{space 1}    3.00{col 66}{space 3}0.004{col 74}{space 4} .5365289{col 87}{space 3} 2.687141
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .3888196{col 46}{space 2} .5302054{col 57}{space 1}    0.73{col 66}{space 3}0.466{col 74}{space 4} -.672119{col 87}{space 3} 1.449758
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.4819191{col 46}{space 2}  .264522{col 57}{space 1}   -1.82{col 66}{space 3}0.074{col 74}{space 4}-1.011226{col 87}{space 3} .0473882
{txt}{space 30}ed {c |}{col 34}{res}{space 2}-.0038815{col 46}{space 2} .0297097{col 57}{space 1}   -0.13{col 66}{space 3}0.896{col 74}{space 4}-.0633304{col 87}{space 3} .0555674
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .5900908{col 46}{space 2} .3783788{col 57}{space 1}    1.56{col 66}{space 3}0.124{col 74}{space 4}-.1670433{col 87}{space 3} 1.347225
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.4809613{col 46}{space 2} .7657024{col 57}{space 1}   -0.63{col 66}{space 3}0.532{col 74}{space 4}-2.013128{col 87}{space 3} 1.051206
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} .3773988{col 46}{space 2}  .544198{col 57}{space 1}    0.69{col 66}{space 3}0.491{col 74}{space 4}-.7115389{col 87}{space 3} 1.466336
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-1.257814{col 46}{space 2} .8237981{col 57}{space 1}   -1.53{col 66}{space 3}0.132{col 74}{space 4} -2.90623{col 87}{space 3} .3906026
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .1260996{col 46}{space 2} .4375355{col 57}{space 1}    0.29{col 66}{space 3}0.774{col 74}{space 4}-.7494068{col 87}{space 3} 1.001606
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0276161{col 46}{space 2} .0348113{col 57}{space 1}    0.79{col 66}{space 3}0.431{col 74}{space 4}-.0420412{col 87}{space 3} .0972734
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .3835844{col 46}{space 2} .5471182{col 57}{space 1}    0.70{col 66}{space 3}0.486{col 74}{space 4}-.7111967{col 87}{space 3} 1.478365
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-1.540814{col 46}{space 2} 1.209013{col 57}{space 1}   -1.27{col 66}{space 3}0.208{col 74}{space 4}-3.960043{col 87}{space 3} .8784145
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-.2175352{col 46}{space 2} .7359881{col 57}{space 1}   -0.30{col 66}{space 3}0.769{col 74}{space 4}-1.690244{col 87}{space 3} 1.255174
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(note: file coeffs4.dta not found)
file coeffs4.dta saved
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}        6{txt}{col 49}Number of obs{col 67}= {res}       756
{txt}{col 1}Number of PSUs{col 20}= {res}       50{txt}{col 49}Population size{col 67}={res} 673.495183
{txt}{col 49}Design df{col 67}= {res}        44
{txt}{col 49}F({res}  15{txt},{res}     30{txt}){col 67}= {res}      1.16
{txt}{col 49}Prob > F{col 67}= {res}    0.3536

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .3883061{col 46}{space 2}  .455439{col 57}{space 1}    0.85{col 66}{space 3}0.398{col 74}{space 4}-.5295708{col 87}{space 3} 1.306183
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .0108773{col 46}{space 2} .2426529{col 57}{space 1}    0.04{col 66}{space 3}0.964{col 74}{space 4}-.4781575{col 87}{space 3} .4999121
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0256542{col 46}{space 2} .0230879{col 57}{space 1}    1.11{col 66}{space 3}0.273{col 74}{space 4}-.0208763{col 87}{space 3} .0721848
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.3680486{col 46}{space 2} .2785983{col 57}{space 1}   -1.32{col 66}{space 3}0.193{col 74}{space 4}-.9295267{col 87}{space 3} .1934295
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.4215923{col 46}{space 2} .9811582{col 57}{space 1}   -0.43{col 66}{space 3}0.670{col 74}{space 4}-2.398987{col 87}{space 3} 1.555802
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-.9991267{col 46}{space 2}  .722152{col 57}{space 1}   -1.38{col 66}{space 3}0.173{col 74}{space 4}-2.454528{col 87}{space 3}  .456275
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .2577174{col 46}{space 2} .5250071{col 57}{space 1}    0.49{col 66}{space 3}0.626{col 74}{space 4}-.8003648{col 87}{space 3}   1.3158
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.1426204{col 46}{space 2} .2849186{col 57}{space 1}   -0.50{col 66}{space 3}0.619{col 74}{space 4}-.7168361{col 87}{space 3} .4315953
{txt}{space 30}ed {c |}{col 34}{res}{space 2}  .068918{col 46}{space 2} .0264916{col 57}{space 1}    2.60{col 66}{space 3}0.013{col 74}{space 4} .0155278{col 87}{space 3} .1223083
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.1562795{col 46}{space 2} .3335452{col 57}{space 1}   -0.47{col 66}{space 3}0.642{col 74}{space 4}-.8284957{col 87}{space 3} .5159366
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.3121285{col 46}{space 2} .9562926{col 57}{space 1}   -0.33{col 66}{space 3}0.746{col 74}{space 4} -2.23941{col 87}{space 3} 1.615153
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-1.547649{col 46}{space 2}   .66879{col 57}{space 1}   -2.31{col 66}{space 3}0.025{col 74}{space 4}-2.895507{col 87}{space 3}-.1997918
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} 1.295601{col 46}{space 2} 1.473152{col 57}{space 1}    0.88{col 66}{space 3}0.384{col 74}{space 4}-1.673341{col 87}{space 3} 4.264543
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .4648624{col 46}{space 2} .4163728{col 57}{space 1}    1.12{col 66}{space 3}0.270{col 74}{space 4}-.3742819{col 87}{space 3} 1.304007
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0073717{col 46}{space 2} .0583496{col 57}{space 1}    0.13{col 66}{space 3}0.900{col 74}{space 4}-.1102241{col 87}{space 3} .1249675
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.2169221{col 46}{space 2} .6842569{col 57}{space 1}   -0.32{col 66}{space 3}0.753{col 74}{space 4}-1.595951{col 87}{space 3} 1.162107
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.9043347{col 46}{space 2} 2.006243{col 57}{space 1}   -0.45{col 66}{space 3}0.654{col 74}{space 4}-4.947652{col 87}{space 3} 3.138982
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-3.642005{col 46}{space 2} 1.369035{col 57}{space 1}   -2.66{col 66}{space 3}0.011{col 74}{space 4}-6.401115{col 87}{space 3}-.8828958
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(note: file coeffs5.dta not found)
file coeffs5.dta saved
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}        5{txt}{col 49}Number of obs{col 67}= {res}       639
{txt}{col 1}Number of PSUs{col 20}= {res}       49{txt}{col 49}Population size{col 67}={res} 639.853157
{txt}{col 49}Design df{col 67}= {res}        44
{txt}{col 49}F({res}  15{txt},{res}     30{txt}){col 67}= {res}      1.47
{txt}{col 49}Prob > F{col 67}= {res}    0.1784

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.8357576{col 46}{space 2} .3844261{col 57}{space 1}   -2.17{col 66}{space 3}0.035{col 74}{space 4}-1.610518{col 87}{space 3}-.0609977
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.1413757{col 46}{space 2}  .231094{col 57}{space 1}   -0.61{col 66}{space 3}0.544{col 74}{space 4}-.6071151{col 87}{space 3} .3243637
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0253693{col 46}{space 2} .0300082{col 57}{space 1}    0.85{col 66}{space 3}0.402{col 74}{space 4}-.0351083{col 87}{space 3} .0858469
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.4866517{col 46}{space 2} .3928089{col 57}{space 1}   -1.24{col 66}{space 3}0.222{col 74}{space 4}-1.278306{col 87}{space 3} .3050026
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} .9637038{col 46}{space 2} .6449607{col 57}{space 1}    1.49{col 66}{space 3}0.142{col 74}{space 4}-.3361289{col 87}{space 3} 2.263537
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} .7893605{col 46}{space 2}  .535805{col 57}{space 1}    1.47{col 66}{space 3}0.148{col 74}{space 4}-.2904835{col 87}{space 3} 1.869204
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} -1.16341{col 46}{space 2} .3373069{col 57}{space 1}   -3.45{col 66}{space 3}0.001{col 74}{space 4}-1.843208{col 87}{space 3}-.4836127
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.2728229{col 46}{space 2} .2105283{col 57}{space 1}   -1.30{col 66}{space 3}0.202{col 74}{space 4}-.6971147{col 87}{space 3} .1514689
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0455431{col 46}{space 2} .0319517{col 57}{space 1}    1.43{col 66}{space 3}0.161{col 74}{space 4}-.0188512{col 87}{space 3} .1099375
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.1373193{col 46}{space 2}  .364277{col 57}{space 1}   -0.38{col 66}{space 3}0.708{col 74}{space 4}-.8714714{col 87}{space 3} .5968328
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.4192191{col 46}{space 2} .7725185{col 57}{space 1}   -0.54{col 66}{space 3}0.590{col 74}{space 4}-1.976128{col 87}{space 3}  1.13769
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} .9730705{col 46}{space 2} .5698822{col 57}{space 1}    1.71{col 66}{space 3}0.095{col 74}{space 4}-.1754517{col 87}{space 3} 2.121593
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.1751199{col 46}{space 2} .8039988{col 57}{space 1}   -0.22{col 66}{space 3}0.829{col 74}{space 4}-1.795473{col 87}{space 3} 1.445233
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} -.565059{col 46}{space 2} .3606341{col 57}{space 1}   -1.57{col 66}{space 3}0.124{col 74}{space 4}-1.291869{col 87}{space 3} .1617513
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0940924{col 46}{space 2} .0556377{col 57}{space 1}    1.69{col 66}{space 3}0.098{col 74}{space 4} -.018038{col 87}{space 3} .2062227
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.2316351{col 46}{space 2} .4573846{col 57}{space 1}   -0.51{col 66}{space 3}0.615{col 74}{space 4}-1.153433{col 87}{space 3} .6901629
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} 1.045272{col 46}{space 2} 1.188491{col 57}{space 1}    0.88{col 66}{space 3}0.384{col 74}{space 4}-1.349974{col 87}{space 3} 3.440518
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-2.103235{col 46}{space 2} 1.276401{col 57}{space 1}   -1.65{col 66}{space 3}0.107{col 74}{space 4}-4.675652{col 87}{space 3} .4691818
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(note: file coeffs6.dta not found)
file coeffs6.dta saved
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}        4{txt}{col 49}Number of obs{col 67}= {res}       611
{txt}{col 1}Number of PSUs{col 20}= {res}       62{txt}{col 49}Population size{col 67}={res} 565.210307
{txt}{col 49}Design df{col 67}= {res}        58
{txt}{col 49}F({res}  15{txt},{res}     44{txt}){col 67}= {res}      1.66
{txt}{col 49}Prob > F{col 67}= {res}    0.0973

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.5404299{col 46}{space 2} .5274994{col 57}{space 1}   -1.02{col 66}{space 3}0.310{col 74}{space 4}-1.596335{col 87}{space 3}  .515475
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .3383851{col 46}{space 2} .2238962{col 57}{space 1}    1.51{col 66}{space 3}0.136{col 74}{space 4}-.1097919{col 87}{space 3}  .786562
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0489394{col 46}{space 2} .0399641{col 57}{space 1}    1.22{col 66}{space 3}0.226{col 74}{space 4}-.0310574{col 87}{space 3} .1289362
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.5019055{col 46}{space 2} .3198023{col 57}{space 1}   -1.57{col 66}{space 3}0.122{col 74}{space 4}-1.142059{col 87}{space 3} .1382483
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} .0980461{col 46}{space 2} 1.038455{col 57}{space 1}    0.09{col 66}{space 3}0.925{col 74}{space 4}-1.980647{col 87}{space 3} 2.176739
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} .9504241{col 46}{space 2} .8334482{col 57}{space 1}    1.14{col 66}{space 3}0.259{col 74}{space 4}-.7179037{col 87}{space 3} 2.618752
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.4098251{col 46}{space 2} .4841573{col 57}{space 1}   -0.85{col 66}{space 3}0.401{col 74}{space 4}-1.378971{col 87}{space 3} .5593211
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .6485321{col 46}{space 2} .2524089{col 57}{space 1}    2.57{col 66}{space 3}0.013{col 74}{space 4} .1432807{col 87}{space 3} 1.153784
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0438842{col 46}{space 2} .0392713{col 57}{space 1}    1.12{col 66}{space 3}0.268{col 74}{space 4}-.0347259{col 87}{space 3} .1224943
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.2206047{col 46}{space 2} .3417096{col 57}{space 1}   -0.65{col 66}{space 3}0.521{col 74}{space 4}-.9046108{col 87}{space 3} .4634013
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} 1.236439{col 46}{space 2} .9812803{col 57}{space 1}    1.26{col 66}{space 3}0.213{col 74}{space 4}-.7278071{col 87}{space 3} 3.200685
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-.0286348{col 46}{space 2}  .866043{col 57}{space 1}   -0.03{col 66}{space 3}0.974{col 74}{space 4}-1.762208{col 87}{space 3} 1.704939
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.3981678{col 46}{space 2}  .701718{col 57}{space 1}   -0.57{col 66}{space 3}0.573{col 74}{space 4}-1.802809{col 87}{space 3} 1.006473
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .6257334{col 46}{space 2} .3660154{col 57}{space 1}    1.71{col 66}{space 3}0.093{col 74}{space 4}-.1069259{col 87}{space 3} 1.358393
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .1080178{col 46}{space 2} .0594953{col 57}{space 1}    1.82{col 66}{space 3}0.075{col 74}{space 4} -.011075{col 87}{space 3} .2271106
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.8666562{col 46}{space 2} .5404261{col 57}{space 1}   -1.60{col 66}{space 3}0.114{col 74}{space 4}-1.948436{col 87}{space 3} .2151241
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}  2.06391{col 46}{space 2} 1.185746{col 57}{space 1}    1.74{col 66}{space 3}0.087{col 74}{space 4}-.3096186{col 87}{space 3} 4.437439
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-2.334539{col 46}{space 2} 1.059906{col 57}{space 1}   -2.20{col 66}{space 3}0.032{col 74}{space 4} -4.45617{col 87}{space 3}-.2129071
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(note: file coeffs7.dta not found)
file coeffs7.dta saved
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}        6{txt}{col 49}Number of obs{col 67}= {res}       632
{txt}{col 1}Number of PSUs{col 20}= {res}       72{txt}{col 49}Population size{col 67}={res} 626.984108
{txt}{col 49}Design df{col 67}= {res}        66
{txt}{col 49}F({res}  15{txt},{res}     52{txt}){col 67}= {res}      2.55
{txt}{col 49}Prob > F{col 67}= {res}    0.0064

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.0338881{col 46}{space 2} .5274427{col 57}{space 1}   -0.06{col 66}{space 3}0.949{col 74}{space 4}-1.086961{col 87}{space 3} 1.019185
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .1840377{col 46}{space 2} .2550219{col 57}{space 1}    0.72{col 66}{space 3}0.473{col 74}{space 4}  -.32513{col 87}{space 3} .6932053
{txt}{space 30}ed {c |}{col 34}{res}{space 2}  .043507{col 46}{space 2} .0266513{col 57}{space 1}    1.63{col 66}{space 3}0.107{col 74}{space 4} -.009704{col 87}{space 3}  .096718
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.4550606{col 46}{space 2}  .345153{col 57}{space 1}   -1.32{col 66}{space 3}0.192{col 74}{space 4}-1.144181{col 87}{space 3} .2340595
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.2866896{col 46}{space 2}  .654398{col 57}{space 1}   -0.44{col 66}{space 3}0.663{col 74}{space 4}-1.593237{col 87}{space 3} 1.019858
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-.5647379{col 46}{space 2} .6845996{col 57}{space 1}   -0.82{col 66}{space 3}0.412{col 74}{space 4}-1.931585{col 87}{space 3} .8021094
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.2031179{col 46}{space 2} .5005362{col 57}{space 1}   -0.41{col 66}{space 3}0.686{col 74}{space 4}-1.202471{col 87}{space 3} .7962348
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.1589557{col 46}{space 2} .2154429{col 57}{space 1}   -0.74{col 66}{space 3}0.463{col 74}{space 4}-.5891014{col 87}{space 3}   .27119
{txt}{space 30}ed {c |}{col 34}{res}{space 2}  .087274{col 46}{space 2} .0406033{col 57}{space 1}    2.15{col 66}{space 3}0.035{col 74}{space 4} .0062068{col 87}{space 3} .1683411
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .2431792{col 46}{space 2} .3735313{col 57}{space 1}    0.65{col 66}{space 3}0.517{col 74}{space 4}   -.5026{col 87}{space 3} .9889584
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.2357876{col 46}{space 2} .6205973{col 57}{space 1}   -0.38{col 66}{space 3}0.705{col 74}{space 4} -1.47485{col 87}{space 3} 1.003275
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-.9673277{col 46}{space 2}  .560372{col 57}{space 1}   -1.73{col 66}{space 3}0.089{col 74}{space 4}-2.086147{col 87}{space 3} .1514911
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-1.050022{col 46}{space 2} .4948251{col 57}{space 1}   -2.12{col 66}{space 3}0.038{col 74}{space 4}-2.037972{col 87}{space 3} -.062072
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .2021401{col 46}{space 2} .2026704{col 57}{space 1}    1.00{col 66}{space 3}0.322{col 74}{space 4}-.2025045{col 87}{space 3} .6067847
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0748134{col 46}{space 2} .0311137{col 57}{space 1}    2.40{col 66}{space 3}0.019{col 74}{space 4} .0126929{col 87}{space 3} .1369338
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.4122966{col 46}{space 2} .3903856{col 57}{space 1}   -1.06{col 66}{space 3}0.295{col 74}{space 4}-1.191727{col 87}{space 3} .3671334
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} .1609561{col 46}{space 2} .6979576{col 57}{space 1}    0.23{col 66}{space 3}0.818{col 74}{space 4}-1.232561{col 87}{space 3} 1.554473
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} -.268237{col 46}{space 2} .6848905{col 57}{space 1}   -0.39{col 66}{space 3}0.697{col 74}{space 4}-1.635665{col 87}{space 3} 1.099191
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(note: file coeffs8.dta not found)
file coeffs8.dta saved
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}        6{txt}{col 49}Number of obs{col 67}= {res}       663
{txt}{col 1}Number of PSUs{col 20}= {res}      112{txt}{col 49}Population size{col 67}={res}        663
{txt}{col 49}Design df{col 67}= {res}       106
{txt}{col 49}F({res}  15{txt},{res}     92{txt}){col 67}= {res}      0.97
{txt}{col 49}Prob > F{col 67}= {res}    0.4970

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.0640428{col 46}{space 2} .6425472{col 57}{space 1}   -0.10{col 66}{space 3}0.921{col 74}{space 4}-1.337955{col 87}{space 3}  1.20987
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .1753845{col 46}{space 2} .2754982{col 57}{space 1}    0.64{col 66}{space 3}0.526{col 74}{space 4}-.3708176{col 87}{space 3} .7215865
{txt}{space 30}ed {c |}{col 34}{res}{space 2}-.0722404{col 46}{space 2} .0382641{col 57}{space 1}   -1.89{col 66}{space 3}0.062{col 74}{space 4}-.1481027{col 87}{space 3} .0036218
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .0281882{col 46}{space 2} .3779145{col 57}{space 1}    0.07{col 66}{space 3}0.941{col 74}{space 4}-.7210641{col 87}{space 3} .7774406
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} 1.214102{col 46}{space 2} 1.072089{col 57}{space 1}    1.13{col 66}{space 3}0.260{col 74}{space 4}-.9114196{col 87}{space 3} 3.339623
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-1.515548{col 46}{space 2}  .744486{col 57}{space 1}   -2.04{col 66}{space 3}0.044{col 74}{space 4}-2.991563{col 87}{space 3}-.0395317
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.2903586{col 46}{space 2} .3957032{col 57}{space 1}   -0.73{col 66}{space 3}0.465{col 74}{space 4}-1.074879{col 87}{space 3} .4941614
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .2494541{col 46}{space 2} .2216104{col 57}{space 1}    1.13{col 66}{space 3}0.263{col 74}{space 4}  -.18991{col 87}{space 3} .6888183
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0237109{col 46}{space 2} .0293592{col 57}{space 1}    0.81{col 66}{space 3}0.421{col 74}{space 4}-.0344965{col 87}{space 3} .0819183
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .1860661{col 46}{space 2} .3756469{col 57}{space 1}    0.50{col 66}{space 3}0.621{col 74}{space 4}-.5586904{col 87}{space 3} .9308227
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}  .190963{col 46}{space 2} .6984707{col 57}{space 1}    0.27{col 66}{space 3}0.785{col 74}{space 4}-1.193823{col 87}{space 3} 1.575749
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-1.192318{col 46}{space 2} .6014104{col 57}{space 1}   -1.98{col 66}{space 3}0.050{col 74}{space 4}-2.384672{col 87}{space 3}  .000037
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .0109828{col 46}{space 2} .4053702{col 57}{space 1}    0.03{col 66}{space 3}0.978{col 74}{space 4}-.7927032{col 87}{space 3} .8146687
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}  .106548{col 46}{space 2} .2114188{col 57}{space 1}    0.50{col 66}{space 3}0.615{col 74}{space 4}-.3126104{col 87}{space 3} .5257064
{txt}{space 30}ed {c |}{col 34}{res}{space 2}-.0117628{col 46}{space 2} .0250101{col 57}{space 1}   -0.47{col 66}{space 3}0.639{col 74}{space 4}-.0613478{col 87}{space 3} .0378222
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.1427734{col 46}{space 2} .3628504{col 57}{space 1}   -0.39{col 66}{space 3}0.695{col 74}{space 4}-.8621596{col 87}{space 3} .5766129
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} .0978361{col 46}{space 2} .6287193{col 57}{space 1}    0.16{col 66}{space 3}0.877{col 74}{space 4}-1.148661{col 87}{space 3} 1.344333
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-.6172225{col 46}{space 2} .5122828{col 57}{space 1}   -1.20{col 66}{space 3}0.231{col 74}{space 4}-1.632873{col 87}{space 3} .3984281
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(note: file coeffs9.dta not found)
file coeffs9.dta saved
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}        9{txt}{col 49}Number of obs{col 67}= {res}     1,195
{txt}{col 1}Number of PSUs{col 20}= {res}      144{txt}{col 49}Population size{col 67}={res} 589.889233
{txt}{col 49}Design df{col 67}= {res}       135
{txt}{col 49}F({res}  15{txt},{res}    121{txt}){col 67}= {res}      5.09
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.4204649{col 46}{space 2}  .605244{col 57}{space 1}   -0.69{col 66}{space 3}0.488{col 74}{space 4}-1.617451{col 87}{space 3} .7765215
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .6774872{col 46}{space 2} .2248686{col 57}{space 1}    3.01{col 66}{space 3}0.003{col 74}{space 4} .2327663{col 87}{space 3} 1.122208
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0727555{col 46}{space 2}  .033941{col 57}{space 1}    2.14{col 66}{space 3}0.034{col 74}{space 4} .0056306{col 87}{space 3} .1398804
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .2860478{col 46}{space 2} .4363496{col 57}{space 1}    0.66{col 66}{space 3}0.513{col 74}{space 4}-.5769173{col 87}{space 3} 1.149013
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.1890115{col 46}{space 2} 1.146409{col 57}{space 1}   -0.16{col 66}{space 3}0.869{col 74}{space 4}-2.456255{col 87}{space 3} 2.078232
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-1.752255{col 46}{space 2} .8976613{col 57}{space 1}   -1.95{col 66}{space 3}0.053{col 74}{space 4}-3.527553{col 87}{space 3} .0230428
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.2234047{col 46}{space 2} .4101052{col 57}{space 1}   -0.54{col 66}{space 3}0.587{col 74}{space 4}-1.034467{col 87}{space 3} .5876571
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}  .570007{col 46}{space 2} .2094665{col 57}{space 1}    2.72{col 66}{space 3}0.007{col 74}{space 4} .1557468{col 87}{space 3} .9842672
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0422836{col 46}{space 2} .0225479{col 57}{space 1}    1.88{col 66}{space 3}0.063{col 74}{space 4}-.0023092{col 87}{space 3} .0868764
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .6380734{col 46}{space 2} .2834303{col 57}{space 1}    2.25{col 66}{space 3}0.026{col 74}{space 4} .0775355{col 87}{space 3} 1.198611
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-1.218116{col 46}{space 2} .6947929{col 57}{space 1}   -1.75{col 66}{space 3}0.082{col 74}{space 4}-2.592203{col 87}{space 3} .1559702
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} .1681185{col 46}{space 2} .5837108{col 57}{space 1}    0.29{col 66}{space 3}0.774{col 74}{space 4}-.9862817{col 87}{space 3} 1.322519
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.2152832{col 46}{space 2} .4517454{col 57}{space 1}   -0.48{col 66}{space 3}0.634{col 74}{space 4}-1.108697{col 87}{space 3} .6781302
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}  .727823{col 46}{space 2} .1876138{col 57}{space 1}    3.88{col 66}{space 3}0.000{col 74}{space 4} .3567806{col 87}{space 3} 1.098865
{txt}{space 30}ed {c |}{col 34}{res}{space 2}  .044558{col 46}{space 2} .0236089{col 57}{space 1}    1.89{col 66}{space 3}0.061{col 74}{space 4}-.0021331{col 87}{space 3} .0912491
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .7653414{col 46}{space 2} .2664278{col 57}{space 1}    2.87{col 66}{space 3}0.005{col 74}{space 4} .2384292{col 87}{space 3} 1.292254
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-2.049141{col 46}{space 2} .7364496{col 57}{space 1}   -2.78{col 66}{space 3}0.006{col 74}{space 4}-3.505612{col 87}{space 3}-.5926707
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-.3370858{col 46}{space 2} .5267695{col 57}{space 1}   -0.64{col 66}{space 3}0.523{col 74}{space 4}-1.378874{col 87}{space 3} .7047022
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(note: file coeffs10.dta not found)
file coeffs10.dta saved
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}        7{txt}{col 49}Number of obs{col 67}= {res}       591
{txt}{col 1}Number of PSUs{col 20}= {res}      110{txt}{col 49}Population size{col 67}={res}        591
{txt}{col 49}Design df{col 67}= {res}       103
{txt}{col 49}F({res}  15{txt},{res}     89{txt}){col 67}= {res}      2.51
{txt}{col 49}Prob > F{col 67}= {res}    0.0039

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .7035892{col 46}{space 2} .8464122{col 57}{space 1}    0.83{col 66}{space 3}0.408{col 74}{space 4}-.9750697{col 87}{space 3} 2.382248
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.0492033{col 46}{space 2} .3819024{col 57}{space 1}   -0.13{col 66}{space 3}0.898{col 74}{space 4}-.8066166{col 87}{space 3}   .70821
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0026736{col 46}{space 2} .0420968{col 57}{space 1}    0.06{col 66}{space 3}0.949{col 74}{space 4}-.0808155{col 87}{space 3} .0861628
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.2472137{col 46}{space 2} .5387654{col 57}{space 1}   -0.46{col 66}{space 3}0.647{col 74}{space 4}-1.315728{col 87}{space 3} .8213005
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} 2.738569{col 46}{space 2} 1.355695{col 57}{space 1}    2.02{col 66}{space 3}0.046{col 74}{space 4} .0498686{col 87}{space 3}  5.42727
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-2.826982{col 46}{space 2} 1.116076{col 57}{space 1}   -2.53{col 66}{space 3}0.013{col 74}{space 4}-5.040455{col 87}{space 3}-.6135086
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .0658802{col 46}{space 2} .3684348{col 57}{space 1}    0.18{col 66}{space 3}0.858{col 74}{space 4}-.6648233{col 87}{space 3} .7965837
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .2997223{col 46}{space 2} .2027089{col 57}{space 1}    1.48{col 66}{space 3}0.142{col 74}{space 4}-.1023029{col 87}{space 3} .7017476
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0458121{col 46}{space 2} .0304939{col 57}{space 1}    1.50{col 66}{space 3}0.136{col 74}{space 4}-.0146654{col 87}{space 3} .1062895
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .5608219{col 46}{space 2} .3054854{col 57}{space 1}    1.84{col 66}{space 3}0.069{col 74}{space 4}-.0450363{col 87}{space 3}  1.16668
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.0097679{col 46}{space 2} .7935841{col 57}{space 1}   -0.01{col 66}{space 3}0.990{col 74}{space 4}-1.583655{col 87}{space 3} 1.564119
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} -.411299{col 46}{space 2} .5922748{col 57}{space 1}   -0.69{col 66}{space 3}0.489{col 74}{space 4}-1.585936{col 87}{space 3} .7633383
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .0935185{col 46}{space 2} .5219947{col 57}{space 1}    0.18{col 66}{space 3}0.858{col 74}{space 4}-.9417348{col 87}{space 3} 1.128772
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .6680392{col 46}{space 2} .2190675{col 57}{space 1}    3.05{col 66}{space 3}0.003{col 74}{space 4} .2335706{col 87}{space 3} 1.102508
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0173829{col 46}{space 2}  .032318{col 57}{space 1}    0.54{col 66}{space 3}0.592{col 74}{space 4}-.0467122{col 87}{space 3} .0814779
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.3648083{col 46}{space 2} .3877639{col 57}{space 1}   -0.94{col 66}{space 3}0.349{col 74}{space 4}-1.133846{col 87}{space 3} .4042299
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} .0281455{col 46}{space 2}  .995429{col 57}{space 1}    0.03{col 66}{space 3}0.977{col 74}{space 4}-1.946053{col 87}{space 3} 2.002344
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-.7161784{col 46}{space 2} .7245898{col 57}{space 1}   -0.99{col 66}{space 3}0.325{col 74}{space 4}-2.153231{col 87}{space 3} .7208746
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(note: file coeffs11.dta not found)
file coeffs11.dta saved
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}        6{txt}{col 49}Number of obs{col 67}= {res}       604
{txt}{col 1}Number of PSUs{col 20}= {res}       57{txt}{col 49}Population size{col 67}={res} 600.000014
{txt}{col 49}Design df{col 67}= {res}        51
{txt}{col 49}F({res}  15{txt},{res}     37{txt}){col 67}= {res}      2.22
{txt}{col 49}Prob > F{col 67}= {res}    0.0246

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .3113659{col 46}{space 2} .7074964{col 57}{space 1}    0.44{col 66}{space 3}0.662{col 74}{space 4}-1.108992{col 87}{space 3} 1.731724
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .5636197{col 46}{space 2} .2803271{col 57}{space 1}    2.01{col 66}{space 3}0.050{col 74}{space 4} .0008396{col 87}{space 3}   1.1264
{txt}{space 30}ed {c |}{col 34}{res}{space 2}-.0123833{col 46}{space 2} .0366963{col 57}{space 1}   -0.34{col 66}{space 3}0.737{col 74}{space 4}-.0860543{col 87}{space 3} .0612876
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}  .541882{col 46}{space 2}  .353155{col 57}{space 1}    1.53{col 66}{space 3}0.131{col 74}{space 4}-.1671062{col 87}{space 3}  1.25087
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} .8545676{col 46}{space 2} .6699856{col 57}{space 1}    1.28{col 66}{space 3}0.208{col 74}{space 4}-.4904846{col 87}{space 3}  2.19962
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-.7404865{col 46}{space 2} .9361049{col 57}{space 1}   -0.79{col 66}{space 3}0.433{col 74}{space 4}-2.619795{col 87}{space 3} 1.138822
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}  .188868{col 46}{space 2} .6314751{col 57}{space 1}    0.30{col 66}{space 3}0.766{col 74}{space 4}-1.078871{col 87}{space 3} 1.456607
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}  .329184{col 46}{space 2} .2480736{col 57}{space 1}    1.33{col 66}{space 3}0.190{col 74}{space 4}-.1688446{col 87}{space 3} .8272125
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0700838{col 46}{space 2} .0323219{col 57}{space 1}    2.17{col 66}{space 3}0.035{col 74}{space 4} .0051948{col 87}{space 3} .1349727
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}  .488755{col 46}{space 2} .2808422{col 57}{space 1}    1.74{col 66}{space 3}0.088{col 74}{space 4}-.0750593{col 87}{space 3} 1.052569
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} .2843685{col 46}{space 2} .5765999{col 57}{space 1}    0.49{col 66}{space 3}0.624{col 74}{space 4}-.8732041{col 87}{space 3} 1.441941
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-.2856108{col 46}{space 2} .8265439{col 57}{space 1}   -0.35{col 66}{space 3}0.731{col 74}{space 4}-1.944967{col 87}{space 3} 1.373745
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} 1.011679{col 46}{space 2} .8957548{col 57}{space 1}    1.13{col 66}{space 3}0.264{col 74}{space 4}-.7866241{col 87}{space 3} 2.809982
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .7973534{col 46}{space 2} .3295052{col 57}{space 1}    2.42{col 66}{space 3}0.019{col 74}{space 4} .1358441{col 87}{space 3} 1.458863
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .1452958{col 46}{space 2}  .045775{col 57}{space 1}    3.17{col 66}{space 3}0.003{col 74}{space 4} .0533986{col 87}{space 3}  .237193
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.2604774{col 46}{space 2} .5661436{col 57}{space 1}   -0.46{col 66}{space 3}0.647{col 74}{space 4}-1.397058{col 87}{space 3} .8761034
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.6848653{col 46}{space 2} 1.008477{col 57}{space 1}   -0.68{col 66}{space 3}0.500{col 74}{space 4}-2.709467{col 87}{space 3} 1.339736
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-2.963589{col 46}{space 2}  1.03507{col 57}{space 1}   -2.86{col 66}{space 3}0.006{col 74}{space 4}-5.041578{col 87}{space 3}-.8855988
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(note: file coeffs12.dta not found)
file coeffs12.dta saved
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}        9{txt}{col 49}Number of obs{col 67}= {res}       618
{txt}{col 1}Number of PSUs{col 20}= {res}      104{txt}{col 49}Population size{col 67}={res} 594.550307
{txt}{col 49}Design df{col 67}= {res}        95
{txt}{col 49}F({res}  15{txt},{res}     81{txt}){col 67}= {res}      1.94
{txt}{col 49}Prob > F{col 67}= {res}    0.0310

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-1.128694{col 46}{space 2} .5232701{col 57}{space 1}   -2.16{col 66}{space 3}0.034{col 74}{space 4}-2.167517{col 87}{space 3}-.0898714
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .1493847{col 46}{space 2} .2773926{col 57}{space 1}    0.54{col 66}{space 3}0.591{col 74}{space 4}-.4013092{col 87}{space 3} .7000785
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0274613{col 46}{space 2}  .040073{col 57}{space 1}    0.69{col 66}{space 3}0.495{col 74}{space 4}-.0520937{col 87}{space 3} .1070164
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-1.600981{col 46}{space 2} .5137591{col 57}{space 1}   -3.12{col 66}{space 3}0.002{col 74}{space 4}-2.620922{col 87}{space 3}-.5810404
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.5285324{col 46}{space 2} 1.252679{col 57}{space 1}   -0.42{col 66}{space 3}0.674{col 74}{space 4}-3.015414{col 87}{space 3} 1.958349
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} 1.876829{col 46}{space 2} .7927681{col 57}{space 1}    2.37{col 66}{space 3}0.020{col 74}{space 4} .3029857{col 87}{space 3} 3.450673
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.6778302{col 46}{space 2} .4925188{col 57}{space 1}   -1.38{col 66}{space 3}0.172{col 74}{space 4}-1.655604{col 87}{space 3} .2999432
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.0079888{col 46}{space 2} .2461287{col 57}{space 1}   -0.03{col 66}{space 3}0.974{col 74}{space 4} -.496616{col 87}{space 3} .4806385
{txt}{space 30}ed {c |}{col 34}{res}{space 2} -.035726{col 46}{space 2} .0380884{col 57}{space 1}   -0.94{col 66}{space 3}0.351{col 74}{space 4} -.111341{col 87}{space 3} .0398889
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-1.337773{col 46}{space 2} .5238994{col 57}{space 1}   -2.55{col 66}{space 3}0.012{col 74}{space 4}-2.377844{col 87}{space 3}-.2977009
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.2791924{col 46}{space 2} .9217161{col 57}{space 1}   -0.30{col 66}{space 3}0.763{col 74}{space 4} -2.10903{col 87}{space 3} 1.550646
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} 2.657296{col 46}{space 2} .6380805{col 57}{space 1}    4.16{col 66}{space 3}0.000{col 74}{space 4} 1.390546{col 87}{space 3} 3.924046
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .4362291{col 46}{space 2} .6696239{col 57}{space 1}    0.65{col 66}{space 3}0.516{col 74}{space 4}-.8931425{col 87}{space 3} 1.765601
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .4193013{col 46}{space 2} .3554262{col 57}{space 1}    1.18{col 66}{space 3}0.241{col 74}{space 4} -.286309{col 87}{space 3} 1.124912
{txt}{space 30}ed {c |}{col 34}{res}{space 2} -.046222{col 46}{space 2} .0467185{col 57}{space 1}   -0.99{col 66}{space 3}0.325{col 74}{space 4}  -.13897{col 87}{space 3} .0465261
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.9458354{col 46}{space 2} .6512376{col 57}{space 1}   -1.45{col 66}{space 3}0.150{col 74}{space 4}-2.238705{col 87}{space 3} .3470348
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-1.068657{col 46}{space 2} 1.400837{col 57}{space 1}   -0.76{col 66}{space 3}0.447{col 74}{space 4}-3.849671{col 87}{space 3} 1.712357
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}  .252842{col 46}{space 2} .8923765{col 57}{space 1}    0.28{col 66}{space 3}0.778{col 74}{space 4}-1.518749{col 87}{space 3} 2.024433
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(note: file coeffs13.dta not found)
file coeffs13.dta saved
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}        2{txt}{col 49}Number of obs{col 67}= {res}       646
{txt}{col 1}Number of PSUs{col 20}= {res}       61{txt}{col 49}Population size{col 67}={res} 640.872997
{txt}{col 49}Design df{col 67}= {res}        59
{txt}{col 49}F({res}  15{txt},{res}     45{txt}){col 67}= {res}      2.52
{txt}{col 49}Prob > F{col 67}= {res}    0.0085

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .5217681{col 46}{space 2} .9524257{col 57}{space 1}    0.55{col 66}{space 3}0.586{col 74}{space 4}-1.384031{col 87}{space 3} 2.427567
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .3704824{col 46}{space 2} .4288453{col 57}{space 1}    0.86{col 66}{space 3}0.391{col 74}{space 4}-.4876352{col 87}{space 3}   1.2286
{txt}{space 30}ed {c |}{col 34}{res}{space 2}-.0171711{col 46}{space 2} .0504876{col 57}{space 1}   -0.34{col 66}{space 3}0.735{col 74}{space 4}-.1181965{col 87}{space 3} .0838544
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.6762379{col 46}{space 2} .7025841{col 57}{space 1}   -0.96{col 66}{space 3}0.340{col 74}{space 4}-2.082106{col 87}{space 3} .7296297
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} .0733599{col 46}{space 2} 1.305098{col 57}{space 1}    0.06{col 66}{space 3}0.955{col 74}{space 4}-2.538135{col 87}{space 3} 2.684855
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-2.398214{col 46}{space 2} 1.093089{col 57}{space 1}   -2.19{col 66}{space 3}0.032{col 74}{space 4}-4.585479{col 87}{space 3}-.2109493
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} 1.657162{col 46}{space 2} .3796941{col 57}{space 1}    4.36{col 66}{space 3}0.000{col 74}{space 4} .8973956{col 87}{space 3} 2.416928
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.0021376{col 46}{space 2} .1967176{col 57}{space 1}   -0.01{col 66}{space 3}0.991{col 74}{space 4}-.3957687{col 87}{space 3} .3914934
{txt}{space 30}ed {c |}{col 34}{res}{space 2}-.0181657{col 46}{space 2} .0238005{col 57}{space 1}   -0.76{col 66}{space 3}0.448{col 74}{space 4}-.0657904{col 87}{space 3}  .029459
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .5185207{col 46}{space 2} .3088499{col 57}{space 1}    1.68{col 66}{space 3}0.098{col 74}{space 4}-.0994864{col 87}{space 3} 1.136528
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-2.291646{col 46}{space 2} .8860464{col 57}{space 1}   -2.59{col 66}{space 3}0.012{col 74}{space 4}-4.064621{col 87}{space 3}-.5186715
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-1.177835{col 46}{space 2} .5083967{col 57}{space 1}   -2.32{col 66}{space 3}0.024{col 74}{space 4}-2.195135{col 87}{space 3}-.1605358
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} 1.380743{col 46}{space 2} .3879177{col 57}{space 1}    3.56{col 66}{space 3}0.001{col 74}{space 4} .6045214{col 87}{space 3} 2.156964
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}  .018133{col 46}{space 2} .2199089{col 57}{space 1}    0.08{col 66}{space 3}0.935{col 74}{space 4}-.4219036{col 87}{space 3} .4581697
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0149663{col 46}{space 2}  .029816{col 57}{space 1}    0.50{col 66}{space 3}0.618{col 74}{space 4}-.0446954{col 87}{space 3}  .074628
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.0903181{col 46}{space 2} .3632122{col 57}{space 1}   -0.25{col 66}{space 3}0.804{col 74}{space 4}-.8171041{col 87}{space 3} .6364679
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} -1.09833{col 46}{space 2} .8178351{col 57}{space 1}   -1.34{col 66}{space 3}0.184{col 74}{space 4}-2.734814{col 87}{space 3} .5381547
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-1.648119{col 46}{space 2} .5507383{col 57}{space 1}   -2.99{col 66}{space 3}0.004{col 74}{space 4}-2.750144{col 87}{space 3}-.5460941
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(note: file coeffs14.dta not found)
file coeffs14.dta saved
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}        5{txt}{col 49}Number of obs{col 67}= {res}       657
{txt}{col 1}Number of PSUs{col 20}= {res}      127{txt}{col 49}Population size{col 67}={res}        657
{txt}{col 49}Design df{col 67}= {res}       122
{txt}{col 49}F({res}  15{txt},{res}    108{txt}){col 67}= {res}      1.72
{txt}{col 49}Prob > F{col 67}= {res}    0.0579

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-1.149135{col 46}{space 2} .6229639{col 57}{space 1}   -1.84{col 66}{space 3}0.068{col 74}{space 4}-2.382354{col 87}{space 3} .0840846
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.3201247{col 46}{space 2} .2773849{col 57}{space 1}   -1.15{col 66}{space 3}0.251{col 74}{space 4}-.8692358{col 87}{space 3} .2289864
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0395289{col 46}{space 2}  .047131{col 57}{space 1}    0.84{col 66}{space 3}0.403{col 74}{space 4}-.0537715{col 87}{space 3} .1328293
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .0968331{col 46}{space 2} .4840632{col 57}{space 1}    0.20{col 66}{space 3}0.842{col 74}{space 4}-.8614184{col 87}{space 3} 1.055085
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.2533122{col 46}{space 2} .6010933{col 57}{space 1}   -0.42{col 66}{space 3}0.674{col 74}{space 4}-1.443236{col 87}{space 3}  .936612
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-1.279701{col 46}{space 2} .9012947{col 57}{space 1}   -1.42{col 66}{space 3}0.158{col 74}{space 4}-3.063903{col 87}{space 3} .5045022
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .0000275{col 46}{space 2} .5683958{col 57}{space 1}    0.00{col 66}{space 3}1.000{col 74}{space 4}-1.125169{col 87}{space 3} 1.125224
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.3815262{col 46}{space 2} .2089819{col 57}{space 1}   -1.83{col 66}{space 3}0.070{col 74}{space 4}-.7952266{col 87}{space 3} .0321743
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0853349{col 46}{space 2} .0333523{col 57}{space 1}    2.56{col 66}{space 3}0.012{col 74}{space 4} .0193107{col 87}{space 3}  .151359
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .1635819{col 46}{space 2} .3664803{col 57}{space 1}    0.45{col 66}{space 3}0.656{col 74}{space 4}-.5619025{col 87}{space 3} .8890664
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} -.269382{col 46}{space 2} .3997972{col 57}{space 1}   -0.67{col 66}{space 3}0.502{col 74}{space 4}-1.060821{col 87}{space 3} .5220565
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-1.831184{col 46}{space 2} .6450263{col 57}{space 1}   -2.84{col 66}{space 3}0.005{col 74}{space 4}-3.108078{col 87}{space 3}  -.55429
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.1162772{col 46}{space 2} .5356412{col 57}{space 1}   -0.22{col 66}{space 3}0.829{col 74}{space 4}-1.176632{col 87}{space 3} .9440782
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .1673708{col 46}{space 2} .2247695{col 57}{space 1}    0.74{col 66}{space 3}0.458{col 74}{space 4}-.2775829{col 87}{space 3} .6123245
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0182392{col 46}{space 2} .0365046{col 57}{space 1}    0.50{col 66}{space 3}0.618{col 74}{space 4}-.0540254{col 87}{space 3} .0905038
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.1115585{col 46}{space 2} .4300899{col 57}{space 1}   -0.26{col 66}{space 3}0.796{col 74}{space 4}-.9629644{col 87}{space 3} .7398475
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} .5612997{col 46}{space 2} .6169207{col 57}{space 1}    0.91{col 66}{space 3}0.365{col 74}{space 4}-.6599563{col 87}{space 3} 1.782556
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-1.852345{col 46}{space 2} .6845541{col 57}{space 1}   -2.71{col 66}{space 3}0.008{col 74}{space 4}-3.207489{col 87}{space 3}-.4972021
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(note: file coeffs15.dta not found)
file coeffs15.dta saved
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}        8{txt}{col 49}Number of obs{col 67}= {res}       523
{txt}{col 1}Number of PSUs{col 20}= {res}       87{txt}{col 49}Population size{col 67}={res}        523
{txt}{col 49}Design df{col 67}= {res}        79
{txt}{col 49}F({res}  15{txt},{res}     65{txt}){col 67}= {res}      8.20
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .3313042{col 46}{space 2} .7321334{col 57}{space 1}    0.45{col 66}{space 3}0.652{col 74}{space 4}-1.125971{col 87}{space 3} 1.788579
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.1057402{col 46}{space 2}  .322175{col 57}{space 1}   -0.33{col 66}{space 3}0.744{col 74}{space 4}-.7470135{col 87}{space 3} .5355331
{txt}{space 30}ed {c |}{col 34}{res}{space 2}-.0711521{col 46}{space 2} .0527901{col 57}{space 1}   -1.35{col 66}{space 3}0.182{col 74}{space 4}-.1762282{col 87}{space 3} .0339239
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.0488726{col 46}{space 2} .5216026{col 57}{space 1}   -0.09{col 66}{space 3}0.926{col 74}{space 4}-1.087097{col 87}{space 3} .9893515
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-1.013162{col 46}{space 2} 1.003239{col 57}{space 1}   -1.01{col 66}{space 3}0.316{col 74}{space 4}-3.010061{col 87}{space 3} .9837358
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-1.000619{col 46}{space 2} .9575888{col 57}{space 1}   -1.04{col 66}{space 3}0.299{col 74}{space 4}-2.906652{col 87}{space 3} .9054139
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .2275325{col 46}{space 2} .4054483{col 57}{space 1}    0.56{col 66}{space 3}0.576{col 74}{space 4}-.5794922{col 87}{space 3} 1.034557
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.0174686{col 46}{space 2} .2043341{col 57}{space 1}   -0.09{col 66}{space 3}0.932{col 74}{space 4}-.4241854{col 87}{space 3} .3892482
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0768561{col 46}{space 2} .0294147{col 57}{space 1}    2.61{col 66}{space 3}0.011{col 74}{space 4} .0183075{col 87}{space 3} .1354047
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}  .524516{col 46}{space 2} .3130032{col 57}{space 1}    1.68{col 66}{space 3}0.098{col 74}{space 4}-.0985013{col 87}{space 3} 1.147533
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-1.390783{col 46}{space 2} .6591128{col 57}{space 1}   -2.11{col 66}{space 3}0.038{col 74}{space 4}-2.702714{col 87}{space 3}-.0788519
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-1.296444{col 46}{space 2} .4986694{col 57}{space 1}   -2.60{col 66}{space 3}0.011{col 74}{space 4} -2.28902{col 87}{space 3}-.3038673
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} -.245663{col 46}{space 2} 1.335743{col 57}{space 1}   -0.18{col 66}{space 3}0.855{col 74}{space 4}-2.904393{col 87}{space 3} 2.413067
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}  -1.5902{col 46}{space 2} 1.116862{col 57}{space 1}   -1.42{col 66}{space 3}0.158{col 74}{space 4}-3.813259{col 87}{space 3} .6328589
{txt}{space 30}ed {c |}{col 34}{res}{space 2}  .140594{col 46}{space 2} .0445182{col 57}{space 1}    3.16{col 66}{space 3}0.002{col 74}{space 4} .0519827{col 87}{space 3} .2292052
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.4949553{col 46}{space 2} 1.008166{col 57}{space 1}   -0.49{col 66}{space 3}0.625{col 74}{space 4}-2.501659{col 87}{space 3} 1.511748
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-1.335595{col 46}{space 2} 3.091096{col 57}{space 1}   -0.43{col 66}{space 3}0.667{col 74}{space 4}-7.488268{col 87}{space 3} 4.817079
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-4.194969{col 46}{space 2} .9848314{col 57}{space 1}   -4.26{col 66}{space 3}0.000{col 74}{space 4}-6.155227{col 87}{space 3}-2.234711
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(note: file coeffs16.dta not found)
file coeffs16.dta saved
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}        7{txt}{col 49}Number of obs{col 67}= {res}       586
{txt}{col 1}Number of PSUs{col 20}= {res}       78{txt}{col 49}Population size{col 67}={res} 581.349189
{txt}{col 49}Design df{col 67}= {res}        71
{txt}{col 49}F({res}  15{txt},{res}     57{txt}){col 67}= {res}      4.06
{txt}{col 49}Prob > F{col 67}= {res}    0.0001

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .1816626{col 46}{space 2} .4913464{col 57}{space 1}    0.37{col 66}{space 3}0.713{col 74}{space 4}-.7980543{col 87}{space 3} 1.161379
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.3319976{col 46}{space 2} .3099846{col 57}{space 1}   -1.07{col 66}{space 3}0.288{col 74}{space 4}-.9500894{col 87}{space 3} .2860942
{txt}{space 30}ed {c |}{col 34}{res}{space 2}-.0231252{col 46}{space 2} .0433992{col 57}{space 1}   -0.53{col 66}{space 3}0.596{col 74}{space 4}-.1096607{col 87}{space 3} .0634104
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.8058026{col 46}{space 2} .6096759{col 57}{space 1}   -1.32{col 66}{space 3}0.191{col 74}{space 4}-2.021462{col 87}{space 3} .4098566
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-2.792829{col 46}{space 2}  .977772{col 57}{space 1}   -2.86{col 66}{space 3}0.006{col 74}{space 4}-4.742451{col 87}{space 3}-.8432072
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-.4546802{col 46}{space 2} .6875921{col 57}{space 1}   -0.66{col 66}{space 3}0.511{col 74}{space 4}  -1.8257{col 87}{space 3} .9163395
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}  -.08983{col 46}{space 2} .4143129{col 57}{space 1}   -0.22{col 66}{space 3}0.829{col 74}{space 4}-.9159465{col 87}{space 3} .7362865
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.0116221{col 46}{space 2} .1971387{col 57}{space 1}   -0.06{col 66}{space 3}0.953{col 74}{space 4}-.4047056{col 87}{space 3} .3814614
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0565617{col 46}{space 2}  .028205{col 57}{space 1}    2.01{col 66}{space 3}0.049{col 74}{space 4} .0003226{col 87}{space 3} .1128009
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .9508434{col 46}{space 2} .3259229{col 57}{space 1}    2.92{col 66}{space 3}0.005{col 74}{space 4} .3009717{col 87}{space 3} 1.600715
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-1.506125{col 46}{space 2} .6268408{col 57}{space 1}   -2.40{col 66}{space 3}0.019{col 74}{space 4}-2.756011{col 87}{space 3}-.2562404
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-1.227379{col 46}{space 2} .5912322{col 57}{space 1}   -2.08{col 66}{space 3}0.042{col 74}{space 4}-2.406262{col 87}{space 3} -.048495
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} -.153649{col 46}{space 2} .5488169{col 57}{space 1}   -0.28{col 66}{space 3}0.780{col 74}{space 4}-1.247959{col 87}{space 3} .9406609
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.1078921{col 46}{space 2} .2844328{col 57}{space 1}   -0.38{col 66}{space 3}0.706{col 74}{space 4}-.6750351{col 87}{space 3} .4592508
{txt}{space 30}ed {c |}{col 34}{res}{space 2} -.004069{col 46}{space 2} .0533846{col 57}{space 1}   -0.08{col 66}{space 3}0.939{col 74}{space 4} -.110515{col 87}{space 3} .1023769
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .6482461{col 46}{space 2}  .590042{col 57}{space 1}    1.10{col 66}{space 3}0.276{col 74}{space 4}-.5282643{col 87}{space 3} 1.824757
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-1.285317{col 46}{space 2}  1.19085{col 57}{space 1}   -1.08{col 66}{space 3}0.284{col 74}{space 4}-3.659804{col 87}{space 3}  1.08917
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-1.801488{col 46}{space 2} .9605921{col 57}{space 1}   -1.88{col 66}{space 3}0.065{col 74}{space 4}-3.716854{col 87}{space 3} .1138783
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(note: file coeffs17.dta not found)
file coeffs17.dta saved
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}        4{txt}{col 49}Number of obs{col 67}= {res}       685
{txt}{col 1}Number of PSUs{col 20}= {res}       55{txt}{col 49}Population size{col 67}={res} 679.563472
{txt}{col 49}Design df{col 67}= {res}        51
{txt}{col 49}F({res}  15{txt},{res}     37{txt}){col 67}= {res}      3.52
{txt}{col 49}Prob > F{col 67}= {res}    0.0009

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} -.954983{col 46}{space 2} .6879378{col 57}{space 1}   -1.39{col 66}{space 3}0.171{col 74}{space 4}-2.336076{col 87}{space 3} .4261097
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.2743724{col 46}{space 2} .2094047{col 57}{space 1}   -1.31{col 66}{space 3}0.196{col 74}{space 4}-.6947699{col 87}{space 3} .1460251
{txt}{space 30}ed {c |}{col 34}{res}{space 2}  .042216{col 46}{space 2} .0254429{col 57}{space 1}    1.66{col 66}{space 3}0.103{col 74}{space 4}-.0088628{col 87}{space 3} .0932948
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.0317512{col 46}{space 2} .4119793{col 57}{space 1}   -0.08{col 66}{space 3}0.939{col 74}{space 4}-.8588342{col 87}{space 3} .7953319
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-1.169259{col 46}{space 2} .6962044{col 57}{space 1}   -1.68{col 66}{space 3}0.099{col 74}{space 4}-2.566948{col 87}{space 3} .2284298
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} .0984492{col 46}{space 2} .8313954{col 57}{space 1}    0.12{col 66}{space 3}0.906{col 74}{space 4}-1.570647{col 87}{space 3} 1.767545
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .8656971{col 46}{space 2} .5533175{col 57}{space 1}    1.56{col 66}{space 3}0.124{col 74}{space 4}-.2451342{col 87}{space 3} 1.976528
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.7980752{col 46}{space 2} .1605826{col 57}{space 1}   -4.97{col 66}{space 3}0.000{col 74}{space 4}-1.120458{col 87}{space 3}-.4756922
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0675802{col 46}{space 2} .0216694{col 57}{space 1}    3.12{col 66}{space 3}0.003{col 74}{space 4} .0240771{col 87}{space 3} .1110833
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .2304577{col 46}{space 2} .3247152{col 57}{space 1}    0.71{col 66}{space 3}0.481{col 74}{space 4}-.4214352{col 87}{space 3} .8823507
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.2506661{col 46}{space 2} .4637821{col 57}{space 1}   -0.54{col 66}{space 3}0.591{col 74}{space 4}-1.181747{col 87}{space 3} .6804153
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-.9673739{col 46}{space 2} .6890361{col 57}{space 1}   -1.40{col 66}{space 3}0.166{col 74}{space 4}-2.350672{col 87}{space 3} .4159238
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}  2.57005{col 46}{space 2} 1.723308{col 57}{space 1}    1.49{col 66}{space 3}0.142{col 74}{space 4}-.8896361{col 87}{space 3} 6.029736
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.5730095{col 46}{space 2} .3748806{col 57}{space 1}   -1.53{col 66}{space 3}0.133{col 74}{space 4}-1.325614{col 87}{space 3} .1795947
{txt}{space 30}ed {c |}{col 34}{res}{space 2} .0433075{col 46}{space 2} .0427106{col 57}{space 1}    1.01{col 66}{space 3}0.315{col 74}{space 4}-.0424376{col 87}{space 3} .1290526
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .4574945{col 46}{space 2} .7657858{col 57}{space 1}    0.60{col 66}{space 3}0.553{col 74}{space 4}-1.079885{col 87}{space 3} 1.994874
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.5188281{col 46}{space 2} 1.225396{col 57}{space 1}   -0.42{col 66}{space 3}0.674{col 74}{space 4}-2.978914{col 87}{space 3} 1.941258
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}  -5.0616{col 46}{space 2} 1.943524{col 57}{space 1}   -2.60{col 66}{space 3}0.012{col 74}{space 4}-8.963388{col 87}{space 3}-1.159813
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(note: file coeffs18.dta not found)
file coeffs18.dta saved

{com}. clear
{txt}
{com}. append using $results
{txt}
{com}. drop if parm != "authoritarianism"
{txt}(378 observations deleted)

{com}. sencode eq, replace
{txt}
{com}.         lab def eq 1 "Abstain" 2 "Opposition Vote" 3 "Blank/Null", modify
{txt}
{com}.         lab val eq eq
{txt}
{com}. sort eq estimate
{txt}
{com}. egen xvar = seq(), f(1) t(18)
{txt}
{com}. rename idnum pais
{res}{txt}
{com}.         do paislabel.do
{txt}
{com}. label define pais 1 `"Mexico"', modify
{txt}
{com}. label define pais 2 `"Guatemala"', modify
{txt}
{com}. label define pais 3 `"El Salvador"', modify
{txt}
{com}. label define pais 4 `"Honduras"', modify
{txt}
{com}. label define pais 5 `"Nicaragua"', modify
{txt}
{com}. label define pais 6 `"Costa Rica"', modify
{txt}
{com}. label define pais 7 `"Panama"', modify
{txt}
{com}. label define pais 8 `"Colombia"', modify
{txt}
{com}. label define pais 9 `"Ecuador"', modify
{txt}
{com}. label define pais 10 `"Bolivia"', modify
{txt}
{com}. label define pais 11 `"Peru"', modify
{txt}
{com}. label define pais 12 `"Paraguay"', modify
{txt}
{com}. label define pais 13 `"Chile"', modify
{txt}
{com}. label define pais 14 `"Uruguay"', modify
{txt}
{com}. label define pais 15 `"Brazil"', modify
{txt}
{com}. label define pais 16 `"Venezuela"', modify
{txt}
{com}. label define pais 17 `"Argentina"', modify
{txt}
{com}. label define pais 18 `"Dom. Rep."', modify
{txt}
{com}. label define pais 21 `"Dom. Rep."', modify
{txt}
{com}. label define pais 22 `"Haiti"', modify
{txt}
{com}. label define pais 23 `"Jamaica"', modify
{txt}
{com}. label define pais 24 `"Guyana"', modify
{txt}
{com}. label define pais 25 `"Trinidad & Tobago"', modify
{txt}
{com}. label define pais 26 `"Belize"', modify
{txt}
{com}. label define pais 27 `"Suriname"', modify
{txt}
{com}. label define pais 40 `"United States"', modify
{txt}
{com}. label define pais 41 `"Canada"', modify
{txt}
{com}. label define pais .a `"DK"', modify
{txt}
{com}. label define pais .b `"NR"', modify
{txt}
{com}. label define pais .c `"N/A"', modify
{txt}
{com}. 
{txt}end of do-file

{com}.         lab val pais pais
{txt}
{com}.         decode pais, g(pais_neworder)
{txt}
{com}. sencode pais_neworder if eq == 1, g(paiseq1)
{txt}
{com}. graph twoway (scatter paiseq1 estimate if eq == 1, msymbol(O) mcolor(black)) ///
>                         (rspike min90 max90 paiseq1 if eq == 1, lcolor(black) horizontal), ///
>                 ylabel(1(1)18, valuelabel angle(horizontal)) ytitle("") ///
>                 xlabel(, format(%9.1f)) xtitle("") xline(0, lcolor(gs10)) title("Abstain", color(black) size(medium)) ///
>                 graphregion(fcolor(white) lcolor(white)) legend(off) name(abstain, replace)
{res}{txt}
{com}. sencode pais_neworder if eq == 2, g(paiseq2)
{txt}
{com}. graph twoway (scatter paiseq2 estimate if eq == 2, msymbol(O) mcolor(black)) ///
>                         (rspike min90 max90 paiseq2 if eq == 2, lcolor(black) horizontal), ///
>                 ylabel(1(1)18, valuelabel angle(horizontal)) ytitle("") ///
>                 xlabel(, format(%9.1f)) xtitle("") xline(0, lcolor(gs10))  title("Opposition Vote", color(black) size(medium)) ///
>                 graphregion(fcolor(white) lcolor(white)) legend(off) name(opposition, replace)
{res}{txt}
{com}. sencode pais_neworder if eq == 3, g(paiseq3)
{txt}
{com}. graph twoway (scatter paiseq3 estimate if eq == 3, msymbol(O) mcolor(black)) ///
>                         (rspike min90 max90 paiseq3 if eq == 3, lcolor(black) horizontal), ///
>                 ylabel(1(1)18, valuelabel angle(horizontal)) ytitle("") ///
>                 xlabel(, format(%9.1f)) xtitle("") xline(0, lcolor(gs10)) title("Blank/Null Vote", color(black) size(medium)) ///
>                 graphregion(fcolor(white) lcolor(white)) legend(off) name(blanknull, replace)
{res}{txt}
{com}. restore
{txt}
{com}. graph combine abstain opposition blanknull, col(3) ysize(3) ///
>         graphregion(fcolor(white) lcolor(black)) ///
>         title("The Impact of Authoritarianism on Vote Choice 'If Election Were This Week':" ///
>                 "Results from Multinomial Logistic Regression Models within Each Country", size(medium) color(black)) ///
>         note("Baseline category is vote for the incumbent. Coefficients and 90% confidence intervals for authoritarian parenting attitudes" ///
>         "from model controlling for gender, education, wealth, and skin color. Source: AmericasBarometer 2012, v.50", span)
{res}{txt}
{com}. forvalues i = 1/18 {c -(}
{txt}  2{com}.         rm coeffs`i'.dta
{txt}  3{com}. {c )-}
{txt}
{com}. rm paislabel.do
{txt}
{com}. 
.         
. ***************************************************************************************************************************************
. ****************************** in-text discussion *************************************************************************************
. ******** Predicted probs for education
. logit sumauthtmin authoritarianism mujer edr quintall colorr i.pais

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-5153.0796}  
Iteration 1:{space 3}log likelihood = {res:-4770.4841}  
Iteration 2:{space 3}log likelihood = {res:-4765.6176}  
Iteration 3:{space 3}log likelihood = {res:-4765.6146}  
Iteration 4:{space 3}log likelihood = {res:-4765.6146}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     7,651
{txt}{col 49}LR chi2({res}13{txt}){col 67}= {res}    774.93
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4765.6146{txt}{col 49}Pseudo R2{col 67}= {res}    0.0752

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     sumauthtmin{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
authoritarianism {c |}{col 18}{res}{space 2} .2782621{col 30}{space 2} .1034376{col 41}{space 1}    2.69{col 50}{space 3}0.007{col 58}{space 4} .0755282{col 71}{space 3}  .480996
{txt}{space 11}mujer {c |}{col 18}{res}{space 2}-.0613358{col 30}{space 2} .0512708{col 41}{space 1}   -1.20{col 50}{space 3}0.232{col 58}{space 4}-.1618247{col 71}{space 3} .0391531
{txt}{space 13}edr {c |}{col 18}{res}{space 2}-.4446493{col 30}{space 2} .1047895{col 41}{space 1}   -4.24{col 50}{space 3}0.000{col 58}{space 4} -.650033{col 71}{space 3}-.2392657
{txt}{space 8}quintall {c |}{col 18}{res}{space 2}-.1445276{col 30}{space 2} .0753085{col 41}{space 1}   -1.92{col 50}{space 3}0.055{col 58}{space 4}-.2921297{col 71}{space 3} .0030744
{txt}{space 10}colorr {c |}{col 18}{res}{space 2} .5449568{col 30}{space 2} .1682609{col 41}{space 1}    3.24{col 50}{space 3}0.001{col 58}{space 4} .2151715{col 71}{space 3} .8747421
{txt}{space 16} {c |}
{space 12}pais {c |}
{space 4}El Salvador  {c |}{col 18}{res}{space 2}-1.317408{col 30}{space 2} .1241665{col 41}{space 1}  -10.61{col 50}{space 3}0.000{col 58}{space 4} -1.56077{col 71}{space 3}-1.074047
{txt}{space 7}Honduras  {c |}{col 18}{res}{space 2}-1.348062{col 30}{space 2} .1188322{col 41}{space 1}  -11.34{col 50}{space 3}0.000{col 58}{space 4}-1.580969{col 71}{space 3}-1.115155
{txt}{space 6}Nicaragua  {c |}{col 18}{res}{space 2} .2520725{col 30}{space 2} .1024383{col 41}{space 1}    2.46{col 50}{space 3}0.014{col 58}{space 4} .0512972{col 71}{space 3} .4528478
{txt}{space 8}Ecuador  {c |}{col 18}{res}{space 2} .5519869{col 30}{space 2} .1079823{col 41}{space 1}    5.11{col 50}{space 3}0.000{col 58}{space 4} .3403454{col 71}{space 3} .7636283
{txt}{space 8}Bolivia  {c |}{col 18}{res}{space 2}-.2861727{col 30}{space 2} .0944088{col 41}{space 1}   -3.03{col 50}{space 3}0.002{col 58}{space 4}-.4712105{col 71}{space 3}-.1011349
{txt}{space 11}Peru  {c |}{col 18}{res}{space 2} .9065408{col 30}{space 2} .1098607{col 41}{space 1}    8.25{col 50}{space 3}0.000{col 58}{space 4} .6912177{col 71}{space 3} 1.121864
{txt}{space 6}Venezuela  {c |}{col 18}{res}{space 2} .1017867{col 30}{space 2} .1088034{col 41}{space 1}    0.94{col 50}{space 3}0.350{col 58}{space 4}-.1114641{col 71}{space 3} .3150374
{txt}{space 6}Argentina  {c |}{col 18}{res}{space 2} .4920123{col 30}{space 2} .1071296{col 41}{space 1}    4.59{col 50}{space 3}0.000{col 58}{space 4} .2820421{col 71}{space 3} .7019825
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-.4033623{col 30}{space 2} .1446501{col 41}{space 1}   -2.79{col 50}{space 3}0.005{col 58}{space 4}-.6868713{col 71}{space 3}-.1198533
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         margins, at((mean) _all edr=(0 .33 .67 1))
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     7,651
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(sumauthtmin), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 3}.7547379 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4284407 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4870932 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3695857 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.pais}{space 10}{txt:=} {space 3}.0978957 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.pais}{space 10}{txt:=} {space 4}.097765 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.pais}{space 10}{txt:=} {space 3}.1104431 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.pais}{space 10}{txt:=} {space 4}.110051 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.pais}{space 10}{txt:=} {space 4}.095151 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.pais}{space 9}{txt:=} {space 3}.1976212 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.0975036 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.pais}{space 9}{txt:=} {space 3}.0955431 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.0980264 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 3}.7547379 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4284407 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 8}.33}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4870932 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3695857 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.pais}{space 10}{txt:=} {space 3}.0978957 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.pais}{space 10}{txt:=} {space 4}.097765 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.pais}{space 10}{txt:=} {space 3}.1104431 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.pais}{space 10}{txt:=} {space 4}.110051 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.pais}{space 10}{txt:=} {space 4}.095151 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.pais}{space 9}{txt:=} {space 3}.1976212 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.0975036 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.pais}{space 9}{txt:=} {space 3}.0955431 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.0980264 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 3}.7547379 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4284407 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 8}.67}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4870932 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3695857 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.pais}{space 10}{txt:=} {space 3}.0978957 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.pais}{space 10}{txt:=} {space 4}.097765 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.pais}{space 10}{txt:=} {space 3}.1104431 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.pais}{space 10}{txt:=} {space 4}.110051 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.pais}{space 10}{txt:=} {space 4}.095151 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.pais}{space 9}{txt:=} {space 3}.1976212 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.0975036 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.pais}{space 9}{txt:=} {space 3}.0955431 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.0980264 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 3}.7547379 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4284407 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4870932 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3695857 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.pais}{space 10}{txt:=} {space 3}.0978957 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.pais}{space 10}{txt:=} {space 4}.097765 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.pais}{space 10}{txt:=} {space 3}.1104431 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.pais}{space 10}{txt:=} {space 4}.110051 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.pais}{space 10}{txt:=} {space 4}.095151 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.pais}{space 9}{txt:=} {space 3}.1976212 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.0975036 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.pais}{space 9}{txt:=} {space 3}.0955431 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.0980264 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4510965{col 26}{space 2} .0165161{col 37}{space 1}   27.31{col 46}{space 3}0.000{col 54}{space 4} .4187254{col 67}{space 3} .4834675
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4150868{col 26}{space 2}  .008995{col 37}{space 1}   46.15{col 46}{space 3}0.000{col 54}{space 4} .3974569{col 67}{space 3} .4327167
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .3789149{col 26}{space 2} .0062449{col 37}{space 1}   60.68{col 46}{space 3}0.000{col 54}{space 4}  .366675{col 67}{space 3} .3911547
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3450452{col 26}{space 2} .0112615{col 37}{space 1}   30.64{col 46}{space 3}0.000{col 54}{space 4}  .322973{col 67}{space 3} .3671174
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. logit lwaleader authoritarianism mujer edr quintall colorr i.pais

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3633.7682}  
Iteration 1:{space 3}log likelihood = {res:-3527.7833}  
Iteration 2:{space 3}log likelihood = {res:-3527.6141}  
Iteration 3:{space 3}log likelihood = {res:-3527.6141}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     5,309
{txt}{col 49}LR chi2({res}10{txt}){col 67}= {res}    212.31
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3527.6141{txt}{col 49}Pseudo R2{col 67}= {res}    0.0292

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       lwaleader{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
authoritarianism {c |}{col 18}{res}{space 2} .1095609{col 30}{space 2} .1167552{col 41}{space 1}    0.94{col 50}{space 3}0.348{col 58}{space 4}-.1192751{col 71}{space 3} .3383969
{txt}{space 11}mujer {c |}{col 18}{res}{space 2}-.1098833{col 30}{space 2} .0591618{col 41}{space 1}   -1.86{col 50}{space 3}0.063{col 58}{space 4}-.2258383{col 71}{space 3} .0060716
{txt}{space 13}edr {c |}{col 18}{res}{space 2}-.4551201{col 30}{space 2}  .122392{col 41}{space 1}   -3.72{col 50}{space 3}0.000{col 58}{space 4} -.695004{col 71}{space 3}-.2152363
{txt}{space 8}quintall {c |}{col 18}{res}{space 2}-.2329421{col 30}{space 2} .0868631{col 41}{space 1}   -2.68{col 50}{space 3}0.007{col 58}{space 4}-.4031907{col 71}{space 3}-.0626935
{txt}{space 10}colorr {c |}{col 18}{res}{space 2} .9269176{col 30}{space 2} .1956317{col 41}{space 1}    4.74{col 50}{space 3}0.000{col 58}{space 4} .5434866{col 71}{space 3} 1.310349
{txt}{space 16} {c |}
{space 12}pais {c |}
{space 8}Ecuador  {c |}{col 18}{res}{space 2} .2974086{col 30}{space 2} .1066233{col 41}{space 1}    2.79{col 50}{space 3}0.005{col 58}{space 4} .0884308{col 71}{space 3} .5063864
{txt}{space 8}Bolivia  {c |}{col 18}{res}{space 2}-.5573596{col 30}{space 2} .0923567{col 41}{space 1}   -6.03{col 50}{space 3}0.000{col 58}{space 4}-.7383755{col 71}{space 3}-.3763437
{txt}{space 11}Peru  {c |}{col 18}{res}{space 2}-.3306143{col 30}{space 2} .1088727{col 41}{space 1}   -3.04{col 50}{space 3}0.002{col 58}{space 4} -.544001{col 71}{space 3}-.1172277
{txt}{space 6}Venezuela  {c |}{col 18}{res}{space 2}-.1236753{col 30}{space 2} .1073785{col 41}{space 1}   -1.15{col 50}{space 3}0.249{col 58}{space 4}-.3341333{col 71}{space 3} .0867827
{txt}{space 6}Argentina  {c |}{col 18}{res}{space 2} .2733503{col 30}{space 2} .1077124{col 41}{space 1}    2.54{col 50}{space 3}0.011{col 58}{space 4} .0622378{col 71}{space 3} .4844628
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-.1030182{col 30}{space 2} .1689323{col 41}{space 1}   -0.61{col 50}{space 3}0.542{col 58}{space 4}-.4341193{col 71}{space 3}  .228083
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         margins, at((mean) _all edr=(0 .33 .67 1))
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     5,309
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(lwaleader), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 3}.7334087 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4364287 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4876154 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3724054 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.pais}{space 10}{txt:=} {space 3}.1585986 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.pais}{space 10}{txt:=} {space 3}.1371256 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.pais}{space 9}{txt:=} {space 3}.2847994 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.1405161 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.pais}{space 9}{txt:=} {space 3}.1376907 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.1412695 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 3}.7334087 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4364287 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 8}.33}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4876154 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3724054 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.pais}{space 10}{txt:=} {space 3}.1585986 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.pais}{space 10}{txt:=} {space 3}.1371256 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.pais}{space 9}{txt:=} {space 3}.2847994 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.1405161 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.pais}{space 9}{txt:=} {space 3}.1376907 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.1412695 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 3}.7334087 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4364287 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 8}.67}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4876154 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3724054 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.pais}{space 10}{txt:=} {space 3}.1585986 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.pais}{space 10}{txt:=} {space 3}.1371256 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.pais}{space 9}{txt:=} {space 3}.2847994 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.1405161 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.pais}{space 9}{txt:=} {space 3}.1376907 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.1412695 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 3}.7334087 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4364287 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4876154 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3724054 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.pais}{space 10}{txt:=} {space 3}.1585986 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.pais}{space 10}{txt:=} {space 3}.1371256 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.pais}{space 9}{txt:=} {space 3}.2847994 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.1405161 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.pais}{space 9}{txt:=} {space 3}.1376907 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.1412695 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .5045395{col 26}{space 2}  .020888{col 37}{space 1}   24.15{col 46}{space 3}0.000{col 54}{space 4} .4635997{col 67}{space 3} .5454793
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4670401{col 26}{space 2} .0118391{col 37}{space 1}   39.45{col 46}{space 3}0.000{col 54}{space 4} .4438358{col 67}{space 3} .4902444
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .4287943{col 26}{space 2} .0069785{col 37}{space 1}   61.44{col 46}{space 3}0.000{col 54}{space 4} .4151167{col 67}{space 3}  .442472
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .3924652{col 26}{space 2} .0124262{col 37}{space 1}   31.58{col 46}{space 3}0.000{col 54}{space 4} .3681104{col 67}{space 3} .4168201
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. logit rwaleader authoritarianism mujer edr quintall colorr i.pais

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1728.7582}  
Iteration 1:{space 3}log likelihood = {res:-1633.6668}  
Iteration 2:{space 3}log likelihood = {res: -1630.971}  
Iteration 3:{space 3}log likelihood = {res:-1630.9703}  
Iteration 4:{space 3}log likelihood = {res:-1630.9703}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,088
{txt}{col 49}LR chi2({res}8{txt}){col 67}= {res}    195.58
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1630.9703{txt}{col 49}Pseudo R2{col 67}= {res}    0.0566

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       rwaleader{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
authoritarianism {c |}{col 18}{res}{space 2}  .655292{col 30}{space 2} .1888488{col 41}{space 1}    3.47{col 50}{space 3}0.001{col 58}{space 4} .2851551{col 71}{space 3} 1.025429
{txt}{space 11}mujer {c |}{col 18}{res}{space 2} .0672031{col 30}{space 2} .0891804{col 41}{space 1}    0.75{col 50}{space 3}0.451{col 58}{space 4}-.1075872{col 71}{space 3} .2419934
{txt}{space 13}edr {c |}{col 18}{res}{space 2}-.3388674{col 30}{space 2} .1800511{col 41}{space 1}   -1.88{col 50}{space 3}0.060{col 58}{space 4}-.6917611{col 71}{space 3} .0140264
{txt}{space 8}quintall {c |}{col 18}{res}{space 2} .0806335{col 30}{space 2} .1325599{col 41}{space 1}    0.61{col 50}{space 3}0.543{col 58}{space 4}-.1791792{col 71}{space 3} .3404461
{txt}{space 10}colorr {c |}{col 18}{res}{space 2} -.486181{col 30}{space 2} .3051636{col 41}{space 1}   -1.59{col 50}{space 3}0.111{col 58}{space 4}-1.084291{col 71}{space 3} .1119288
{txt}{space 16} {c |}
{space 12}pais {c |}
{space 4}El Salvador  {c |}{col 18}{res}{space 2}-1.404613{col 30}{space 2} .1269147{col 41}{space 1}  -11.07{col 50}{space 3}0.000{col 58}{space 4}-1.653362{col 71}{space 3}-1.155865
{txt}{space 7}Honduras  {c |}{col 18}{res}{space 2}-1.341908{col 30}{space 2} .1189723{col 41}{space 1}  -11.28{col 50}{space 3}0.000{col 58}{space 4} -1.57509{col 71}{space 3}-1.108727
{txt}{space 11}Peru  {c |}{col 18}{res}{space 2}-.7503126{col 30}{space 2} .1232839{col 41}{space 1}   -6.09{col 50}{space 3}0.000{col 58}{space 4}-.9919445{col 71}{space 3}-.5086807
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-.5171101{col 30}{space 2} .2318815{col 41}{space 1}   -2.23{col 50}{space 3}0.026{col 58}{space 4}-.9715896{col 71}{space 3}-.0626307
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}.         margins, at((mean) _all edr=(0 .33 .67 1))
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,088
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(rwaleader), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 3}.7780386 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4290803 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 4}.488261 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3639896 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.pais}{space 10}{txt:=} {space 3}.2425518 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.pais}{space 10}{txt:=} {space 4}.242228 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.pais}{space 10}{txt:=} {space 3}.2736399 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.2415803 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 3}.7780386 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4290803 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 8}.33}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 4}.488261 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3639896 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.pais}{space 10}{txt:=} {space 3}.2425518 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.pais}{space 10}{txt:=} {space 4}.242228 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.pais}{space 10}{txt:=} {space 3}.2736399 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.2415803 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 3}.7780386 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4290803 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 8}.67}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 4}.488261 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3639896 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.pais}{space 10}{txt:=} {space 3}.2425518 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.pais}{space 10}{txt:=} {space 4}.242228 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.pais}{space 10}{txt:=} {space 3}.2736399 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.2415803 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 3}.7780386 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4290803 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 4}.488261 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3639896 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.pais}{space 10}{txt:=} {space 3}.2425518 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.pais}{space 10}{txt:=} {space 4}.242228 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.pais}{space 10}{txt:=} {space 3}.2736399 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.2415803 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2680137{col 26}{space 2} .0207173{col 37}{space 1}   12.94{col 46}{space 3}0.000{col 54}{space 4} .2274086{col 67}{space 3} .3086188
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2466518{col 26}{space 2} .0106755{col 37}{space 1}   23.10{col 46}{space 3}0.000{col 54}{space 4} .2257281{col 67}{space 3} .2675755
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .2258727{col 26}{space 2} .0089104{col 37}{space 1}   25.35{col 46}{space 3}0.000{col 54}{space 4} .2084086{col 67}{space 3} .2433368
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2069201{col 26}{space 2} .0156384{col 37}{space 1}   13.23{col 46}{space 3}0.000{col 54}{space 4} .1762694{col 67}{space 3} .2375709
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. ***************************************************************************************************************************************
. ****************************** Supplemental Information *******************************************************************************
. ********* Table A1. non-response on authoritarian battery
. estimates clear
{txt}
{com}. foreach var in ab1 ab2 ab5 {c -(}
{txt}  2{com}.         forvalues i = 1/18 {c -(}
{txt}  3{com}.                 svy: tab `var' if pais == `i' & ab1 < .c, missing 
{txt}  4{com}.                 estimates store `var'_country`i'
{txt}  5{com}.         {c )-}
{txt}  6{com}.         svy: tab `var' if ab1 < .c, missing 
{txt}  7{com}.         estimates store `var'_countryall
{txt}  8{com}. {c )-}
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        4{txt}{col 49}Number of obs{col 67}= {res}       780
{txt}{col 1}Number of PSUs{col 20}= {res}      130{txt}{col 49}Population size{col 67}={res} 749.999979
{txt}{col 49}Design df{col 67}= {res}       126

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}      {res}.0987
  {txt}Respect {c |}      {res}.7295
     {txt}Both {c |}      {res}.1667
       {txt}DK {c |}      {res}.0013
       {txt}NR {c |}      {res}.0038
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        4{txt}{col 49}Number of obs{col 67}= {res}       756
{txt}{col 1}Number of PSUs{col 20}= {res}       72{txt}{col 49}Population size{col 67}={res}  751.49105
{txt}{col 49}Design df{col 67}= {res}        68

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}      {res}.0952
  {txt}Respect {c |}      {res}.6534
     {txt}Both {c |}      {res}.2407
       {txt}DK {c |}      {res}.0079
       {txt}NR {c |}      {res}.0026
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        5{txt}{col 49}Number of obs{col 67}= {res}       752
{txt}{col 1}Number of PSUs{col 20}= {res}       53{txt}{col 49}Population size{col 67}={res} 753.507029
{txt}{col 49}Design df{col 67}= {res}        48

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}      {res}.0505
  {txt}Respect {c |}      {res}.9176
     {txt}Both {c |}      {res}.0293
       {txt}DK {c |}      {res}.0027
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        9{txt}{col 49}Number of obs{col 67}= {res}       864
{txt}{col 1}Number of PSUs{col 20}= {res}       68{txt}{col 49}Population size{col 67}={res} 750.000044
{txt}{col 49}Design df{col 67}= {res}        59

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}      {res}.1179
  {txt}Respect {c |}      {res}.7326
     {txt}Both {c |}      {res}.1381
       {txt}DK {c |}      {res}.0067
       {txt}NR {c |}      {res}.0046
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        6{txt}{col 49}Number of obs{col 67}= {res}       844
{txt}{col 1}Number of PSUs{col 20}= {res}       50{txt}{col 49}Population size{col 67}={res} 750.800758
{txt}{col 49}Design df{col 67}= {res}        44

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}      {res}.0742
  {txt}Respect {c |}      {res}.8924
     {txt}Both {c |}      {res}.0324
       {txt}DK {c |}       {res}.001
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        5{txt}{col 49}Number of obs{col 67}= {res}       749
{txt}{col 1}Number of PSUs{col 20}= {res}       49{txt}{col 49}Population size{col 67}={res} 750.000023
{txt}{col 49}Design df{col 67}= {res}        44

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}      {res}.1055
  {txt}Respect {c |}      {res}.6943
     {txt}Both {c |}      {res}.1936
       {txt}DK {c |}       {res}.004
       {txt}NR {c |}      {res}.0027
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        4{txt}{col 49}Number of obs{col 67}= {res}       810
{txt}{col 1}Number of PSUs{col 20}= {res}       62{txt}{col 49}Population size{col 67}={res} 750.000006
{txt}{col 49}Design df{col 67}= {res}        58

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}      {res}.0545
  {txt}Respect {c |}      {res}.7764
     {txt}Both {c |}      {res}.1666
       {txt}DK {c |}      {res}.0013
       {txt}NR {c |}      {res}.0012
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        6{txt}{col 49}Number of obs{col 67}= {res}       757
{txt}{col 1}Number of PSUs{col 20}= {res}       73{txt}{col 49}Population size{col 67}={res} 750.992041
{txt}{col 49}Design df{col 67}= {res}        67

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}      {res}.0832
  {txt}Respect {c |}      {res}.7992
     {txt}Both {c |}      {res}.1123
       {txt}DK {c |}      {res}.0053
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        6{txt}{col 49}Number of obs{col 67}= {res}       748
{txt}{col 1}Number of PSUs{col 20}= {res}      112{txt}{col 49}Population size{col 67}={res}        748
{txt}{col 49}Design df{col 67}= {res}       106

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}      {res}.0856
  {txt}Respect {c |}      {res}.7366
     {txt}Both {c |}      {res}.1497
       {txt}DK {c |}      {res}.0053
       {txt}NR {c |}      {res}.0227
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        9{txt}{col 49}Number of obs{col 67}= {res}     1,517
{txt}{col 1}Number of PSUs{col 20}= {res}      145{txt}{col 49}Population size{col 67}={res} 758.690981
{txt}{col 49}Design df{col 67}= {res}       136

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}      {res}.0435
  {txt}Respect {c |}      {res}.6375
     {txt}Both {c |}      {res}.3141
       {txt}DK {c |}      {res}.0037
       {txt}NR {c |}      {res}.0012
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        7{txt}{col 49}Number of obs{col 67}= {res}       750
{txt}{col 1}Number of PSUs{col 20}= {res}      110{txt}{col 49}Population size{col 67}={res}        750
{txt}{col 49}Design df{col 67}= {res}       103

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}       {res}.132
  {txt}Respect {c |}      {res}.7107
     {txt}Both {c |}      {res}.1467
       {txt}DK {c |}       {res}.008
       {txt}NR {c |}      {res}.0027
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        6{txt}{col 49}Number of obs{col 67}= {res}       753
{txt}{col 1}Number of PSUs{col 20}= {res}       57{txt}{col 49}Population size{col 67}={res} 748.013263
{txt}{col 49}Design df{col 67}= {res}        51

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}      {res}.0452
  {txt}Respect {c |}      {res}.8725
     {txt}Both {c |}      {res}.0797
       {txt}DK {c |}      {res}.0027
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        9{txt}{col 49}Number of obs{col 67}= {res}       786
{txt}{col 1}Number of PSUs{col 20}= {res}      104{txt}{col 49}Population size{col 67}={res} 739.794401
{txt}{col 49}Design df{col 67}= {res}        95

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}      {res}.0767
  {txt}Respect {c |}      {res}.5429
     {txt}Both {c |}      {res}.3689
       {txt}DK {c |}      {res}.0018
       {txt}NR {c |}      {res}.0097
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        2{txt}{col 49}Number of obs{col 67}= {res}       756
{txt}{col 1}Number of PSUs{col 20}= {res}       61{txt}{col 49}Population size{col 67}={res} 749.999978
{txt}{col 49}Design df{col 67}= {res}        59

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}      {res}.0926
  {txt}Respect {c |}      {res}.7804
     {txt}Both {c |}      {res}.1243
       {txt}DK {c |}      {res}.0026
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        5{txt}{col 49}Number of obs{col 67}= {res}       750
{txt}{col 1}Number of PSUs{col 20}= {res}      127{txt}{col 49}Population size{col 67}={res}        750
{txt}{col 49}Design df{col 67}= {res}       122

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}       {res}.048
  {txt}Respect {c |}      {res}.7453
     {txt}Both {c |}      {res}.2027
       {txt}DK {c |}      {res}.0027
       {txt}NR {c |}      {res}.0013
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        8{txt}{col 49}Number of obs{col 67}= {res}       750
{txt}{col 1}Number of PSUs{col 20}= {res}       89{txt}{col 49}Population size{col 67}={res}        750
{txt}{col 49}Design df{col 67}= {res}        81

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}      {res}.0773
  {txt}Respect {c |}      {res}.7493
     {txt}Both {c |}      {res}.1667
       {txt}DK {c |}      {res}.0027
       {txt}NR {c |}       {res}.004
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        7{txt}{col 49}Number of obs{col 67}= {res}       756
{txt}{col 1}Number of PSUs{col 20}= {res}       78{txt}{col 49}Population size{col 67}={res} 749.999978
{txt}{col 49}Design df{col 67}= {res}        71

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}      {res}.1019
  {txt}Respect {c |}       {res}.709
     {txt}Both {c |}       {res}.172
       {txt}DK {c |}      {res}.0079
       {txt}NR {c |}      {res}.0093
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        4{txt}{col 49}Number of obs{col 67}= {res}       756
{txt}{col 1}Number of PSUs{col 20}= {res}       55{txt}{col 49}Population size{col 67}={res} 749.999978
{txt}{col 49}Design df{col 67}= {res}        51

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}      {res}.0384
  {txt}Respect {c |}      {res}.9405
     {txt}Both {c |}      {res}.0198
       {txt}NR {c |}      {res}.0013
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}      106{txt}{col 49}Number of obs{col 67}= {res}    14,634
{txt}{col 1}Number of PSUs{col 20}= {res}    1,495{txt}{col 49}Population size{col 67}={res}  13,501.29
{txt}{col 49}Design df{col 67}= {res}     1,389

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Independ {c |}      {res}.0789
  {txt}Respect {c |}      {res}.7568
     {txt}Both {c |}      {res}.1568
       {txt}DK {c |}      {res}.0038
       {txt}NR {c |}      {res}.0037
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        4{txt}{col 49}Number of obs{col 67}= {res}       780
{txt}{col 1}Number of PSUs{col 20}= {res}      130{txt}{col 49}Population size{col 67}={res} 749.999979
{txt}{col 49}Design df{col 67}= {res}       126

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}      {res}.5269
 {txt}Autonomy {c |}      {res}.2705
     {txt}Both {c |}      {res}.1962
       {txt}DK {c |}      {res}.0013
       {txt}NR {c |}      {res}.0051
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        4{txt}{col 49}Number of obs{col 67}= {res}       756
{txt}{col 1}Number of PSUs{col 20}= {res}       72{txt}{col 49}Population size{col 67}={res}  751.49105
{txt}{col 49}Design df{col 67}= {res}        68

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}      {res}.6865
 {txt}Autonomy {c |}      {res}.0767
     {txt}Both {c |}      {res}.2288
       {txt}DK {c |}      {res}.0053
       {txt}NR {c |}      {res}.0026
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        5{txt}{col 49}Number of obs{col 67}= {res}       752
{txt}{col 1}Number of PSUs{col 20}= {res}       53{txt}{col 49}Population size{col 67}={res} 753.507029
{txt}{col 49}Design df{col 67}= {res}        48

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}      {res}.9109
 {txt}Autonomy {c |}      {res}.0625
     {txt}Both {c |}      {res}.0226
       {txt}DK {c |}      {res}.0027
       {txt}NR {c |}      {res}.0013
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        9{txt}{col 49}Number of obs{col 67}= {res}       864
{txt}{col 1}Number of PSUs{col 20}= {res}       68{txt}{col 49}Population size{col 67}={res} 750.000044
{txt}{col 49}Design df{col 67}= {res}        59

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}      {res}.7014
 {txt}Autonomy {c |}      {res}.1415
     {txt}Both {c |}      {res}.1335
       {txt}DK {c |}      {res}.0091
       {txt}NR {c |}      {res}.0145
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        6{txt}{col 49}Number of obs{col 67}= {res}       844
{txt}{col 1}Number of PSUs{col 20}= {res}       50{txt}{col 49}Population size{col 67}={res} 750.800758
{txt}{col 49}Design df{col 67}= {res}        44

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}      {res}.8617
 {txt}Autonomy {c |}      {res}.1041
     {txt}Both {c |}      {res}.0343
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        5{txt}{col 49}Number of obs{col 67}= {res}       749
{txt}{col 1}Number of PSUs{col 20}= {res}       49{txt}{col 49}Population size{col 67}={res} 750.000023
{txt}{col 49}Design df{col 67}= {res}        44

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}      {res}.6889
 {txt}Autonomy {c |}      {res}.1375
     {txt}Both {c |}      {res}.1629
       {txt}DK {c |}       {res}.004
       {txt}NR {c |}      {res}.0067
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        4{txt}{col 49}Number of obs{col 67}= {res}       810
{txt}{col 1}Number of PSUs{col 20}= {res}       62{txt}{col 49}Population size{col 67}={res} 750.000006
{txt}{col 49}Design df{col 67}= {res}        58

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}      {res}.6669
 {txt}Autonomy {c |}      {res}.1132
     {txt}Both {c |}      {res}.2186
       {txt}NR {c |}      {res}.0013
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        6{txt}{col 49}Number of obs{col 67}= {res}       757
{txt}{col 1}Number of PSUs{col 20}= {res}       73{txt}{col 49}Population size{col 67}={res} 750.992041
{txt}{col 49}Design df{col 67}= {res}        67

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}      {res}.7266
 {txt}Autonomy {c |}      {res}.1466
     {txt}Both {c |}      {res}.1189
       {txt}DK {c |}      {res}.0079
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        6{txt}{col 49}Number of obs{col 67}= {res}       748
{txt}{col 1}Number of PSUs{col 20}= {res}      112{txt}{col 49}Population size{col 67}={res}        748
{txt}{col 49}Design df{col 67}= {res}       106

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}      {res}.5896
 {txt}Autonomy {c |}      {res}.1939
     {txt}Both {c |}      {res}.1765
       {txt}DK {c |}      {res}.0053
       {txt}NR {c |}      {res}.0348
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        9{txt}{col 49}Number of obs{col 67}= {res}     1,517
{txt}{col 1}Number of PSUs{col 20}= {res}      145{txt}{col 49}Population size{col 67}={res} 758.690981
{txt}{col 49}Design df{col 67}= {res}       136

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}      {res}.5183
 {txt}Autonomy {c |}      {res}.1137
     {txt}Both {c |}      {res}.3618
       {txt}DK {c |}      {res}.0033
       {txt}NR {c |}      {res}.0029
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        7{txt}{col 49}Number of obs{col 67}= {res}       750
{txt}{col 1}Number of PSUs{col 20}= {res}      110{txt}{col 49}Population size{col 67}={res}        750
{txt}{col 49}Design df{col 67}= {res}       103

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}      {res}.6373
 {txt}Autonomy {c |}      {res}.2213
     {txt}Both {c |}      {res}.1213
       {txt}DK {c |}      {res}.0133
       {txt}NR {c |}      {res}.0067
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        6{txt}{col 49}Number of obs{col 67}= {res}       753
{txt}{col 1}Number of PSUs{col 20}= {res}       57{txt}{col 49}Population size{col 67}={res} 748.013263
{txt}{col 49}Design df{col 67}= {res}        51

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}       {res}.822
 {txt}Autonomy {c |}      {res}.1089
     {txt}Both {c |}      {res}.0677
       {txt}DK {c |}      {res}.0013
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        9{txt}{col 49}Number of obs{col 67}= {res}       786
{txt}{col 1}Number of PSUs{col 20}= {res}      104{txt}{col 49}Population size{col 67}={res} 739.794401
{txt}{col 49}Design df{col 67}= {res}        95

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}      {res}.4603
 {txt}Autonomy {c |}      {res}.1838
     {txt}Both {c |}      {res}.3427
       {txt}DK {c |}      {res}.0029
       {txt}NR {c |}      {res}.0103
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        2{txt}{col 49}Number of obs{col 67}= {res}       756
{txt}{col 1}Number of PSUs{col 20}= {res}       61{txt}{col 49}Population size{col 67}={res} 749.999978
{txt}{col 49}Design df{col 67}= {res}        59

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}      {res}.6759
 {txt}Autonomy {c |}      {res}.1733
     {txt}Both {c |}      {res}.1376
       {txt}DK {c |}      {res}.0093
       {txt}NR {c |}       {res}.004
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        5{txt}{col 49}Number of obs{col 67}= {res}       750
{txt}{col 1}Number of PSUs{col 20}= {res}      127{txt}{col 49}Population size{col 67}={res}        750
{txt}{col 49}Design df{col 67}= {res}       122

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}       {res}.684
 {txt}Autonomy {c |}       {res}.092
     {txt}Both {c |}      {res}.2187
       {txt}DK {c |}      {res}.0013
       {txt}NR {c |}       {res}.004
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        8{txt}{col 49}Number of obs{col 67}= {res}       750
{txt}{col 1}Number of PSUs{col 20}= {res}       89{txt}{col 49}Population size{col 67}={res}        750
{txt}{col 49}Design df{col 67}= {res}        81

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}      {res}.6467
 {txt}Autonomy {c |}      {res}.1227
     {txt}Both {c |}      {res}.2227
       {txt}DK {c |}      {res}.0013
       {txt}NR {c |}      {res}.0067
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        7{txt}{col 49}Number of obs{col 67}= {res}       756
{txt}{col 1}Number of PSUs{col 20}= {res}       78{txt}{col 49}Population size{col 67}={res} 749.999978
{txt}{col 49}Design df{col 67}= {res}        71

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}      {res}.5608
 {txt}Autonomy {c |}      {res}.2183
     {txt}Both {c |}      {res}.1931
       {txt}DK {c |}      {res}.0146
       {txt}NR {c |}      {res}.0132
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        4{txt}{col 49}Number of obs{col 67}= {res}       756
{txt}{col 1}Number of PSUs{col 20}= {res}       55{txt}{col 49}Population size{col 67}={res} 749.999978
{txt}{col 49}Design df{col 67}= {res}        51

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}      {res}.9233
 {txt}Autonomy {c |}      {res}.0516
     {txt}Both {c |}      {res}.0225
       {txt}DK {c |}      {res}.0026
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}      106{txt}{col 49}Number of obs{col 67}= {res}    14,634
{txt}{col 1}Number of PSUs{col 20}= {res}    1,495{txt}{col 49}Population size{col 67}={res}  13,501.29
{txt}{col 49}Design df{col 67}= {res}     1,389

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Obedienc {c |}      {res}.6828
 {txt}Autonomy {c |}      {res}.1406
     {txt}Both {c |}      {res}.1655
       {txt}DK {c |}      {res}.0048
       {txt}NR {c |}      {res}.0063
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        4{txt}{col 49}Number of obs{col 67}= {res}       780
{txt}{col 1}Number of PSUs{col 20}= {res}      130{txt}{col 49}Population size{col 67}={res} 749.999979
{txt}{col 49}Design df{col 67}= {res}       126

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}      {res}.2397
 {txt}Discipli {c |}      {res}.5026
     {txt}Both {c |}      {res}.2513
       {txt}DK {c |}      {res}.0013
       {txt}NR {c |}      {res}.0051
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        4{txt}{col 49}Number of obs{col 67}= {res}       756
{txt}{col 1}Number of PSUs{col 20}= {res}       72{txt}{col 49}Population size{col 67}={res}  751.49105
{txt}{col 49}Design df{col 67}= {res}        68

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}       {res}.168
 {txt}Discipli {c |}      {res}.5291
     {txt}Both {c |}       {res}.287
       {txt}DK {c |}      {res}.0146
       {txt}NR {c |}      {res}.0013
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        5{txt}{col 49}Number of obs{col 67}= {res}       752
{txt}{col 1}Number of PSUs{col 20}= {res}       53{txt}{col 49}Population size{col 67}={res} 753.507029
{txt}{col 49}Design df{col 67}= {res}        48

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}      {res}.1941
 {txt}Discipli {c |}      {res}.6995
     {txt}Both {c |}      {res}.0931
       {txt}DK {c |}       {res}.012
       {txt}NR {c |}      {res}.0013
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        9{txt}{col 49}Number of obs{col 67}= {res}       864
{txt}{col 1}Number of PSUs{col 20}= {res}       68{txt}{col 49}Population size{col 67}={res} 750.000044
{txt}{col 49}Design df{col 67}= {res}        59

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}      {res}.1089
 {txt}Discipli {c |}      {res}.5765
     {txt}Both {c |}      {res}.2919
       {txt}DK {c |}      {res}.0073
       {txt}NR {c |}      {res}.0153
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        6{txt}{col 49}Number of obs{col 67}= {res}       844
{txt}{col 1}Number of PSUs{col 20}= {res}       50{txt}{col 49}Population size{col 67}={res} 750.800758
{txt}{col 49}Design df{col 67}= {res}        44

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}      {res}.1991
 {txt}Discipli {c |}       {res}.709
     {txt}Both {c |}      {res}.0895
       {txt}NR {c |}      {res}.0024
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        5{txt}{col 49}Number of obs{col 67}= {res}       749
{txt}{col 1}Number of PSUs{col 20}= {res}       49{txt}{col 49}Population size{col 67}={res} 750.000023
{txt}{col 49}Design df{col 67}= {res}        44

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}      {res}.1949
 {txt}Discipli {c |}      {res}.5501
     {txt}Both {c |}      {res}.2443
       {txt}DK {c |}      {res}.0013
       {txt}NR {c |}      {res}.0093
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        4{txt}{col 49}Number of obs{col 67}= {res}       810
{txt}{col 1}Number of PSUs{col 20}= {res}       62{txt}{col 49}Population size{col 67}={res} 750.000006
{txt}{col 49}Design df{col 67}= {res}        58

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}      {res}.1371
 {txt}Discipli {c |}      {res}.5547
     {txt}Both {c |}      {res}.3044
       {txt}DK {c |}      {res}.0025
       {txt}NR {c |}      {res}.0013
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        6{txt}{col 49}Number of obs{col 67}= {res}       757
{txt}{col 1}Number of PSUs{col 20}= {res}       73{txt}{col 49}Population size{col 67}={res} 750.992041
{txt}{col 49}Design df{col 67}= {res}        67

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}       {res}.255
 {txt}Discipli {c |}      {res}.5363
     {txt}Both {c |}      {res}.1797
       {txt}DK {c |}      {res}.0291
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        6{txt}{col 49}Number of obs{col 67}= {res}       748
{txt}{col 1}Number of PSUs{col 20}= {res}      112{txt}{col 49}Population size{col 67}={res}        748
{txt}{col 49}Design df{col 67}= {res}       106

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}      {res}.2126
 {txt}Discipli {c |}      {res}.5201
     {txt}Both {c |}      {res}.2259
       {txt}DK {c |}       {res}.004
       {txt}NR {c |}      {res}.0374
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        9{txt}{col 49}Number of obs{col 67}= {res}     1,517
{txt}{col 1}Number of PSUs{col 20}= {res}      145{txt}{col 49}Population size{col 67}={res} 758.690981
{txt}{col 49}Design df{col 67}= {res}       136

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}       {res}.203
 {txt}Discipli {c |}      {res}.3124
     {txt}Both {c |}      {res}.4788
       {txt}DK {c |}      {res}.0046
       {txt}NR {c |}      {res}.0011
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        7{txt}{col 49}Number of obs{col 67}= {res}       750
{txt}{col 1}Number of PSUs{col 20}= {res}      110{txt}{col 49}Population size{col 67}={res}        750
{txt}{col 49}Design df{col 67}= {res}       103

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}      {res}.3013
 {txt}Discipli {c |}      {res}.4813
     {txt}Both {c |}         {res}.2
       {txt}DK {c |}      {res}.0133
       {txt}NR {c |}       {res}.004
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        6{txt}{col 49}Number of obs{col 67}= {res}       753
{txt}{col 1}Number of PSUs{col 20}= {res}       57{txt}{col 49}Population size{col 67}={res} 748.013263
{txt}{col 49}Design df{col 67}= {res}        51

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}      {res}.2324
 {txt}Discipli {c |}      {res}.5976
     {txt}Both {c |}      {res}.1607
       {txt}DK {c |}       {res}.008
       {txt}NR {c |}      {res}.0013
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        9{txt}{col 49}Number of obs{col 67}= {res}       786
{txt}{col 1}Number of PSUs{col 20}= {res}      104{txt}{col 49}Population size{col 67}={res} 739.794401
{txt}{col 49}Design df{col 67}= {res}        95

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}      {res}.1907
 {txt}Discipli {c |}       {res}.394
     {txt}Both {c |}      {res}.4036
       {txt}DK {c |}      {res}.0013
       {txt}NR {c |}      {res}.0104
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        2{txt}{col 49}Number of obs{col 67}= {res}       756
{txt}{col 1}Number of PSUs{col 20}= {res}       61{txt}{col 49}Population size{col 67}={res} 749.999978
{txt}{col 49}Design df{col 67}= {res}        59

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}      {res}.4021
 {txt}Discipli {c |}      {res}.3479
     {txt}Both {c |}      {res}.2394
       {txt}DK {c |}      {res}.0079
       {txt}NR {c |}      {res}.0026
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        5{txt}{col 49}Number of obs{col 67}= {res}       750
{txt}{col 1}Number of PSUs{col 20}= {res}      127{txt}{col 49}Population size{col 67}={res}        750
{txt}{col 49}Design df{col 67}= {res}       122

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}      {res}.1533
 {txt}Discipli {c |}       {res}.552
     {txt}Both {c |}       {res}.288
       {txt}DK {c |}      {res}.0013
       {txt}NR {c |}      {res}.0053
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        8{txt}{col 49}Number of obs{col 67}= {res}       750
{txt}{col 1}Number of PSUs{col 20}= {res}       89{txt}{col 49}Population size{col 67}={res}        750
{txt}{col 49}Design df{col 67}= {res}        81

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}       {res}.132
 {txt}Discipli {c |}      {res}.5627
     {txt}Both {c |}       {res}.296
       {txt}DK {c |}      {res}.0027
       {txt}NR {c |}      {res}.0067
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        7{txt}{col 49}Number of obs{col 67}= {res}       756
{txt}{col 1}Number of PSUs{col 20}= {res}       78{txt}{col 49}Population size{col 67}={res} 749.999978
{txt}{col 49}Design df{col 67}= {res}        71

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}      {res}.2989
 {txt}Discipli {c |}      {res}.4312
     {txt}Both {c |}      {res}.2407
       {txt}DK {c |}      {res}.0106
       {txt}NR {c |}      {res}.0185
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}        4{txt}{col 49}Number of obs{col 67}= {res}       756
{txt}{col 1}Number of PSUs{col 20}= {res}       55{txt}{col 49}Population size{col 67}={res} 749.999978
{txt}{col 49}Design df{col 67}= {res}        51

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}      {res}.0939
 {txt}Discipli {c |}      {res}.7989
     {txt}Both {c |}      {res}.1058
       {txt}DK {c |}      {res}.0013
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}(running tabulate on estimation sample)
{res}
{txt}{col 1}Number of strata{col 20}= {res}      106{txt}{col 49}Number of obs{col 67}= {res}    14,634
{txt}{col 1}Number of PSUs{col 20}= {res}    1,495{txt}{col 49}Population size{col 67}={res}  13,501.29
{txt}{col 49}Design df{col 67}= {res}     1,389

{txt}{hline 10}{c TT}{hline 11}
I am      {c |}
going to  {c |}
mention   {c |}
various   {c |}
character {c |}
istics    {c |}
and I     {c |}
would     {c |}
like you  {c |}
to tell   {c |}
me wh     {c |} proportion
{hline 10}{c +}{hline 11}
 Creativi {c |}      {res}.2065
 {txt}Discipli {c |}      {res}.5364
     {txt}Both {c |}      {res}.2433
       {txt}DK {c |}      {res}.0068
       {txt}NR {c |}      {res}.0069
          {txt}{c |} 
    Total {c |}          {res}1
{txt}{hline 10}{c BT}{hline 11}
  Key:  {col 1}proportion  =  {res}cell proportion
{txt}
{com}. estimates table ab1_*
{res}
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{res}{txt}{space 9}p21 {c |}{res} {ralign 10:.54289636}{txt} {space 1}{res} {ralign 10:.78042328}{txt} {space 1}{res} {ralign 10:.74533333}{txt} {space 1}{res} {ralign 10:.74933333}{txt} {space 1}{res} {ralign 10:.70899471}{txt} {space 1}{res} {ralign 10:.94047619}{txt} {space 1}{res} {ralign 10:.75678489}{txt} {space 1}
{res}{txt}{space 9}p31 {c |}{res} {ralign 10:.36889107}{txt} {space 1}{res} {ralign 10:.12433862}{txt} {space 1}{res} {ralign 10:.20266667}{txt} {space 1}{res} {ralign 10:.16666667}{txt} {space 1}{res} {ralign 10:.17195767}{txt} {space 1}{res} {ralign 10:.01984127}{txt} {space 1}{res} {ralign 10:.15682297}{txt} {space 1}
{res}{txt}{space 9}p41 {c |}{res} {ralign 10:.00178269}{txt} {space 1}{res} {ralign 10:.0026455}{txt} {space 1}{res} {ralign 10:.00266667}{txt} {space 1}{res} {ralign 10:.00266667}{txt} {space 1}{res} {ralign 10:.00793651}{txt} {space 1}{res} {ralign 10:.00132275}{txt} {space 1}{res} {ralign 10:.00375527}{txt} {space 1}
{res}{txt}{space 9}p51 {c |}{res} {ralign 10:.00973551}{txt} {space 1}{res} {ralign 10:}{txt} {space 1}{res} {ralign 10:.00133333}{txt} {space 1}{res} {ralign 10:.004}{txt} {space 1}{res} {ralign 10:.00925926}{txt} {space 1}{res} {ralign 10:}{txt} {space 1}{res} {ralign 10:.00372796}{txt} {space 1}
{hline 12}{c -}{c BT}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}

{com}. estimates table ab2_*
{res}
{txt}{hline 12}{c -}{c TT}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}
{ralign 12:Variable} {c |} {center 10:ab2_coun~1} {space 1} {center 10:ab2_coun~2} {space 1} {center 10:ab2_coun~3} {space 1} {center 10:ab2_coun~4} {space 1} {center 10:ab2_coun~5} {space 1} {center 10:ab2_coun~6} {space 1} {center 10:ab2_coun~7} {space 1} {center 10:ab2_coun~8} {space 1} {center 10:ab2_coun~9} {space 1} {center 10:ab2_cou~10} {space 1} {center 10:ab2_cou~11} {space 1} {center 10:ab2_cou~12} {space 1}
{hline 12}{c -}{c +}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}
{res}{txt}{space 9}p11 {c |}{res} {ralign 10:.52692308}{txt} {space 1}{res} {ralign 10:.68650794}{txt} {space 1}{res} {ralign 10:.91090426}{txt} {space 1}{res} {ralign 10:.70139212}{txt} {space 1}{res} {ralign 10:.86165258}{txt} {space 1}{res} {ralign 10:.68891856}{txt} {space 1}{res} {ralign 10:.66690666}{txt} {space 1}{res} {ralign 10:.72655218}{txt} {space 1}{res} {ralign 10:.58957219}{txt} {space 1}{res} {ralign 10:.51829509}{txt} {space 1}{res} {ralign 10:.63733333}{txt} {space 1}{res} {ralign 10:.82204515}{txt} {space 1}
{res}{txt}{space 9}p21 {c |}{res} {ralign 10:.27051282}{txt} {space 1}{res} {ralign 10:.07671958}{txt} {space 1}{res} {ralign 10:.0625}{txt} {space 1}{res} {ralign 10:.14146633}{txt} {space 1}{res} {ralign 10:.10408873}{txt} {space 1}{res} {ralign 10:.13751669}{txt} {space 1}{res} {ralign 10:.11323529}{txt} {space 1}{res} {ralign 10:.14663144}{txt} {space 1}{res} {ralign 10:.19385027}{txt} {space 1}{res} {ralign 10:.11371104}{txt} {space 1}{res} {ralign 10:.22133333}{txt} {space 1}{res} {ralign 10:.10889774}{txt} {space 1}
{res}{txt}{space 9}p31 {c |}{res} {ralign 10:.19615385}{txt} {space 1}{res} {ralign 10:.22883598}{txt} {space 1}{res} {ralign 10:.02260638}{txt} {space 1}{res} {ralign 10:.1335358}{txt} {space 1}{res} {ralign 10:.03425869}{txt} {space 1}{res} {ralign 10:.16288385}{txt} {space 1}{res} {ralign 10:.21855596}{txt} {space 1}{res} {ralign 10:.11889036}{txt} {space 1}{res} {ralign 10:.17647059}{txt} {space 1}{res} {ralign 10:.36175778}{txt} {space 1}{res} {ralign 10:.12133333}{txt} {space 1}{res} {ralign 10:.06772908}{txt} {space 1}
{res}{txt}{space 9}p41 {c |}{res} {ralign 10:.00128205}{txt} {space 1}{res} {ralign 10:.00529101}{txt} {space 1}{res} {ralign 10:.00265957}{txt} {space 1}{res} {ralign 10:.00911209}{txt} {space 1}{res} {ralign 10:}{txt} {space 1}{res} {ralign 10:.00400534}{txt} {space 1}{res} {ralign 10:.00130208}{txt} {space 1}{res} {ralign 10:.00792602}{txt} {space 1}{res} {ralign 10:.00534759}{txt} {space 1}{res} {ralign 10:.00332104}{txt} {space 1}{res} {ralign 10:.01333333}{txt} {space 1}{res} {ralign 10:.00132802}{txt} {space 1}
{res}{txt}{space 9}p51 {c |}{res} {ralign 10:.00512821}{txt} {space 1}{res} {ralign 10:.0026455}{txt} {space 1}{res} {ralign 10:.00132979}{txt} {space 1}{res} {ralign 10:.01449365}{txt} {space 1}{res} {ralign 10:}{txt} {space 1}{res} {ralign 10:.00667557}{txt} {space 1}{res} {ralign 10:}{txt} {space 1}{res} {ralign 10:}{txt} {space 1}{res} {ralign 10:.03475936}{txt} {space 1}{res} {ralign 10:.00291505}{txt} {space 1}{res} {ralign 10:.00666667}{txt} {space 1}{res} {ralign 10:}{txt} {space 1}
{hline 12}{c -}{c BT}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}


{hline 12}{c -}{c TT}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}
{ralign 12:Variable} {c |} {center 10:ab2_cou~13} {space 1} {center 10:ab2_cou~14} {space 1} {center 10:ab2_cou~15} {space 1} {center 10:ab2_cou~16} {space 1} {center 10:ab2_cou~17} {space 1} {center 10:ab2_cou~18} {space 1} {center 10:ab2_coun~l} {space 1}
{hline 12}{c -}{c +}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}
{res}{txt}{space 9}p11 {c |}{res} {ralign 10:.46029026}{txt} {space 1}{res} {ralign 10:.67592593}{txt} {space 1}{res} {ralign 10:.684}{txt} {space 1}{res} {ralign 10:.64666667}{txt} {space 1}{res} {ralign 10:.56084656}{txt} {space 1}{res} {ralign 10:.92328042}{txt} {space 1}{res} {ralign 10:.6827965}{txt} {space 1}
{res}{txt}{space 9}p21 {c |}{res} {ralign 10:.18378356}{txt} {space 1}{res} {ralign 10:.17328042}{txt} {space 1}{res} {ralign 10:.092}{txt} {space 1}{res} {ralign 10:.12266667}{txt} {space 1}{res} {ralign 10:.21825397}{txt} {space 1}{res} {ralign 10:.0515873}{txt} {space 1}{res} {ralign 10:.14058638}{txt} {space 1}
{res}{txt}{space 9}p31 {c |}{res} {ralign 10:.34269199}{txt} {space 1}{res} {ralign 10:.13756614}{txt} {space 1}{res} {ralign 10:.21866667}{txt} {space 1}{res} {ralign 10:.22266667}{txt} {space 1}{res} {ralign 10:.19312169}{txt} {space 1}{res} {ralign 10:.02248677}{txt} {space 1}{res} {ralign 10:.16553113}{txt} {space 1}
{res}{txt}{space 9}p41 {c |}{res} {ralign 10:.00288666}{txt} {space 1}{res} {ralign 10:.00925926}{txt} {space 1}{res} {ralign 10:.00133333}{txt} {space 1}{res} {ralign 10:.00133333}{txt} {space 1}{res} {ralign 10:.01455026}{txt} {space 1}{res} {ralign 10:.0026455}{txt} {space 1}{res} {ralign 10:.00475673}{txt} {space 1}
{res}{txt}{space 9}p51 {c |}{res} {ralign 10:.01034753}{txt} {space 1}{res} {ralign 10:.00396825}{txt} {space 1}{res} {ralign 10:.004}{txt} {space 1}{res} {ralign 10:.00666667}{txt} {space 1}{res} {ralign 10:.01322751}{txt} {space 1}{res} {ralign 10:}{txt} {space 1}{res} {ralign 10:.00632926}{txt} {space 1}
{hline 12}{c -}{c BT}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}

{com}. estimates table ab5_*
{res}
{txt}{hline 12}{c -}{c TT}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}
{ralign 12:Variable} {c |} {center 10:ab5_coun~1} {space 1} {center 10:ab5_coun~2} {space 1} {center 10:ab5_coun~3} {space 1} {center 10:ab5_coun~4} {space 1} {center 10:ab5_coun~5} {space 1} {center 10:ab5_coun~6} {space 1} {center 10:ab5_coun~7} {space 1} {center 10:ab5_coun~8} {space 1} {center 10:ab5_coun~9} {space 1} {center 10:ab5_cou~10} {space 1} {center 10:ab5_cou~11} {space 1} {center 10:ab5_cou~12} {space 1}
{hline 12}{c -}{c +}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}
{res}{txt}{space 9}p11 {c |}{res} {ralign 10:.23974359}{txt} {space 1}{res} {ralign 10:.16798942}{txt} {space 1}{res} {ralign 10:.19414894}{txt} {space 1}{res} {ralign 10:.1089374}{txt} {space 1}{res} {ralign 10:.19912842}{txt} {space 1}{res} {ralign 10:.19492657}{txt} {space 1}{res} {ralign 10:.13711047}{txt} {space 1}{res} {ralign 10:.25495376}{txt} {space 1}{res} {ralign 10:.21256684}{txt} {space 1}{res} {ralign 10:.20299664}{txt} {space 1}{res} {ralign 10:.30133333}{txt} {space 1}{res} {ralign 10:.23240372}{txt} {space 1}
{res}{txt}{space 9}p21 {c |}{res} {ralign 10:.5025641}{txt} {space 1}{res} {ralign 10:.52910053}{txt} {space 1}{res} {ralign 10:.69946809}{txt} {space 1}{res} {ralign 10:.57651255}{txt} {space 1}{res} {ralign 10:.70896805}{txt} {space 1}{res} {ralign 10:.55006676}{txt} {space 1}{res} {ralign 10:.55466489}{txt} {space 1}{res} {ralign 10:.53632761}{txt} {space 1}{res} {ralign 10:.52005348}{txt} {space 1}{res} {ralign 10:.31238341}{txt} {space 1}{res} {ralign 10:.48133333}{txt} {space 1}{res} {ralign 10:.59760956}{txt} {space 1}
{res}{txt}{space 9}p31 {c |}{res} {ralign 10:.25128205}{txt} {space 1}{res} {ralign 10:.28703704}{txt} {space 1}{res} {ralign 10:.09308511}{txt} {space 1}{res} {ralign 10:.2919473}{txt} {space 1}{res} {ralign 10:.08947455}{txt} {space 1}{res} {ralign 10:.24432577}{txt} {space 1}{res} {ralign 10:.3043804}{txt} {space 1}{res} {ralign 10:.17965654}{txt} {space 1}{res} {ralign 10:.22593583}{txt} {space 1}{res} {ralign 10:.47883228}{txt} {space 1}{res} {ralign 10:.2}{txt} {space 1}{res} {ralign 10:.16069057}{txt} {space 1}
{res}{txt}{space 9}p41 {c |}{res} {ralign 10:.00128205}{txt} {space 1}{res} {ralign 10:.01455026}{txt} {space 1}{res} {ralign 10:.01196809}{txt} {space 1}{res} {ralign 10:.0072529}{txt} {space 1}{res} {ralign 10:.00242897}{txt} {space 1}{res} {ralign 10:.00133511}{txt} {space 1}{res} {ralign 10:.00254216}{txt} {space 1}{res} {ralign 10:.02906209}{txt} {space 1}{res} {ralign 10:.0040107}{txt} {space 1}{res} {ralign 10:.00464019}{txt} {space 1}{res} {ralign 10:.01333333}{txt} {space 1}{res} {ralign 10:.00796813}{txt} {space 1}
{res}{txt}{space 9}p51 {c |}{res} {ralign 10:.00512821}{txt} {space 1}{res} {ralign 10:.00132275}{txt} {space 1}{res} {ralign 10:.00132979}{txt} {space 1}{res} {ralign 10:.01534985}{txt} {space 1}{res} {ralign 10:}{txt} {space 1}{res} {ralign 10:.00934579}{txt} {space 1}{res} {ralign 10:.00130208}{txt} {space 1}{res} {ralign 10:}{txt} {space 1}{res} {ralign 10:.03743316}{txt} {space 1}{res} {ralign 10:.00114748}{txt} {space 1}{res} {ralign 10:.004}{txt} {space 1}{res} {ralign 10:.00132802}{txt} {space 1}
{hline 12}{c -}{c BT}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}


{hline 12}{c -}{c TT}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}
{ralign 12:Variable} {c |} {center 10:ab5_cou~13} {space 1} {center 10:ab5_cou~14} {space 1} {center 10:ab5_cou~15} {space 1} {center 10:ab5_cou~16} {space 1} {center 10:ab5_cou~17} {space 1} {center 10:ab5_cou~18} {space 1} {center 10:ab5_coun~l} {space 1}
{hline 12}{c -}{c +}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}
{res}{txt}{space 9}p11 {c |}{res} {ralign 10:.19068988}{txt} {space 1}{res} {ralign 10:.4021164}{txt} {space 1}{res} {ralign 10:.15333333}{txt} {space 1}{res} {ralign 10:.132}{txt} {space 1}{res} {ralign 10:.2989418}{txt} {space 1}{res} {ralign 10:.09391534}{txt} {space 1}{res} {ralign 10:.20651375}{txt} {space 1}
{res}{txt}{space 9}p21 {c |}{res} {ralign 10:.39398813}{txt} {space 1}{res} {ralign 10:.3478836}{txt} {space 1}{res} {ralign 10:.552}{txt} {space 1}{res} {ralign 10:.56266667}{txt} {space 1}{res} {ralign 10:.43121693}{txt} {space 1}{res} {ralign 10:.7989418}{txt} {space 1}{res} {ralign 10:.53643917}{txt} {space 1}
{res}{txt}{space 9}p31 {c |}{res} {ralign 10:.40359256}{txt} {space 1}{res} {ralign 10:.23941799}{txt} {space 1}{res} {ralign 10:.288}{txt} {space 1}{res} {ralign 10:.296}{txt} {space 1}{res} {ralign 10:.24074074}{txt} {space 1}{res} {ralign 10:.10582011}{txt} {space 1}{res} {ralign 10:.24334268}{txt} {space 1}
{res}{txt}{space 9}p41 {c |}{res} {ralign 10:.00129438}{txt} {space 1}{res} {ralign 10:.00793651}{txt} {space 1}{res} {ralign 10:.00133333}{txt} {space 1}{res} {ralign 10:.00266667}{txt} {space 1}{res} {ralign 10:.01058201}{txt} {space 1}{res} {ralign 10:.00132275}{txt} {space 1}{res} {ralign 10:.00684425}{txt} {space 1}
{res}{txt}{space 9}p51 {c |}{res} {ralign 10:.01043505}{txt} {space 1}{res} {ralign 10:.0026455}{txt} {space 1}{res} {ralign 10:.00533333}{txt} {space 1}{res} {ralign 10:.00666667}{txt} {space 1}{res} {ralign 10:.01851852}{txt} {space 1}{res} {ralign 10:}{txt} {space 1}{res} {ralign 10:.00686015}{txt} {space 1}
{hline 12}{c -}{c BT}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}{c -}{hline 10}{c -}{c -}

{com}. 
. ********* Table A2. alpha coefficients from authoritarianism battery
. tempname memhold
{txt}
{com}. tempfile results
{txt}
{com}. postfile `memhold' country alpha using `results', replace
{txt}(note: file C:\Users\aesmith2\AppData\Local\Temp\ST_00000005.tmp not found)

{com}. forvalues i = 1/18 {c -(}
{txt}  2{com}.         alpha ab1r ab2r ab5r if pais == `i'  
{txt}  3{com}.                 scalar alpha_country`i' = r(alpha)
{txt}  4{com}.         post `memhold' (`i') (`=scalar(alpha_country`i')')
{txt}  5{com}. {c )-}

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .0201053
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.3109

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .0244163
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.4415

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .0067396
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.1910

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .0314768
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.5126

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .0189283
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.3816

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .0289333
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.4531

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .0246597
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.4688

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res}  .026176
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.4161

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res}  .026733
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.4101

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .0225388
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.4423

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res}  .028776
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.3893

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .0148671
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.3124

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res}  .037672
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.5608

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .0366623
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.5006

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .0296277
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.5350

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .0254048
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.4585

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res}  .034561
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.4636

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res}  .005709
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.2255
{txt}
{com}. alpha ab1r ab2r ab5r 

{txt}Test scale = mean(unstandardized items)

Average interitem covariance:{col 34}{res} .0285021
{txt}Number of items in the scale:{col 34}{res}        3
{txt}Scale reliability coefficient:{col 34}{res}   0.4628
{txt}
{com}.         scalar alpha_countryall = r(alpha)
{txt}
{com}.         post `memhold' (20) (`=scalar(alpha_countryall)')
{txt}
{com}. postclose `memhold'
{txt}
{com}. preserve
{txt}
{com}.         append using `results'
{txt}
{com}.         lab def pais 20 "Entire Region", modify
{txt}
{com}.         lab val country pais
{txt}
{com}.         tabstat alpha, by(country)

{txt}Summary for variables: alpha
{col 6}by categories of: country 

{ralign 16:country} {...}
{c |}      mean
{hline 17}{c +}{hline 10}
{ralign 16:Mexico} {...}
{c |}{...}
 {res} .3108698
{txt}{ralign 16:Guatemala} {...}
{c |}{...}
 {res} .4415456
{txt}{ralign 16:El Salvador} {...}
{c |}{...}
 {res} .1909667
{txt}{ralign 16:Honduras} {...}
{c |}{...}
 {res} .5126113
{txt}{ralign 16:Nicaragua} {...}
{c |}{...}
 {res} .3816002
{txt}{ralign 16:Costa Rica} {...}
{c |}{...}
 {res} .4530881
{txt}{ralign 16:Panama} {...}
{c |}{...}
 {res} .4687558
{txt}{ralign 16:Colombia} {...}
{c |}{...}
 {res} .4161431
{txt}{ralign 16:Ecuador} {...}
{c |}{...}
 {res} .4101373
{txt}{ralign 16:Bolivia} {...}
{c |}{...}
 {res} .4422631
{txt}{ralign 16:Peru} {...}
{c |}{...}
 {res} .3893403
{txt}{ralign 16:Paraguay} {...}
{c |}{...}
 {res} .3124421
{txt}{ralign 16:Chile} {...}
{c |}{...}
 {res} .5608404
{txt}{ralign 16:Uruguay} {...}
{c |}{...}
 {res} .5005935
{txt}{ralign 16:Brazil} {...}
{c |}{...}
 {res} .5349814
{txt}{ralign 16:Venezuela} {...}
{c |}{...}
 {res} .4585052
{txt}{ralign 16:Argentina} {...}
{c |}{...}
 {res} .4635602
{txt}{ralign 16:Dom. Rep.} {...}
{c |}{...}
 {res} .2254825
{txt}{ralign 16:Entire Region} {...}
{c |}{...}
 {res}  .462812
{txt}{hline 17}{c +}{hline 10}
{ralign 16:Total} {...}
{c |}{...}
 {res} .4177126
{txt}{hline 17}{c BT}{hline 10}

{com}. restore
{txt}
{com}. scalar drop _all
{txt}
{com}. 
. 
. ******** Table A5. RETROSPECTIVE VOTE CHOICE model: one institutional authoritarianism measure at a time
. eststo clear
{txt}
{com}. foreach dv in sumauthtmin lwaleader rwaleader {c -(}
{txt}  2{com}.         svy: logit `dv' authoritarianism rightist ing4 mujer edr quintall colorr i.pais
{txt}  3{com}.         eststo
{txt}  4{com}.         svy: logit `dv' authoritarianism rightist PSA5 mujer edr quintall colorr i.pais 
{txt}  5{com}.         eststo
{txt}  6{com}. {c )-}
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       61{txt}{col 49}Number of obs{col 67}= {res}     7,232
{txt}{col 1}Number of PSUs{col 20}= {res}      777{txt}{col 49}Population size{col 67}={res} 6,326.8596
{txt}{col 49}Design df{col 67}= {res}       716
{txt}{col 49}F({res}  15{txt},{res}    702{txt}){col 67}= {res}     34.79
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}  Linearized
{col 1}     sumauthtmin{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
authoritarianism {c |}{col 18}{res}{space 2} .2547843{col 30}{space 2} .1133606{col 41}{space 1}    2.25{col 50}{space 3}0.025{col 58}{space 4} .0322254{col 71}{space 3} .4773432
{txt}{space 8}rightist {c |}{col 18}{res}{space 2} .0081909{col 30}{space 2}  .075133{col 41}{space 1}    0.11{col 50}{space 3}0.913{col 58}{space 4}-.1393164{col 71}{space 3} .1556982
{txt}{space 12}ing4 {c |}{col 18}{res}{space 2}  .344374{col 30}{space 2}  .099424{col 41}{space 1}    3.46{col 50}{space 3}0.001{col 58}{space 4} .1491765{col 71}{space 3} .5395715
{txt}{space 11}mujer {c |}{col 18}{res}{space 2}-.0149616{col 30}{space 2} .0526966{col 41}{space 1}   -0.28{col 50}{space 3}0.777{col 58}{space 4}-.1184199{col 71}{space 3} .0884967
{txt}{space 13}edr {c |}{col 18}{res}{space 2}-.3907725{col 30}{space 2} .1163194{col 41}{space 1}   -3.36{col 50}{space 3}0.001{col 58}{space 4}-.6191404{col 71}{space 3}-.1624046
{txt}{space 8}quintall {c |}{col 18}{res}{space 2}-.2252177{col 30}{space 2} .0852077{col 41}{space 1}   -2.64{col 50}{space 3}0.008{col 58}{space 4}-.3925045{col 71}{space 3}-.0579309
{txt}{space 10}colorr {c |}{col 18}{res}{space 2}  .534962{col 30}{space 2} .1988035{col 41}{space 1}    2.69{col 50}{space 3}0.007{col 58}{space 4} .1446545{col 71}{space 3} .9252695
{txt}{space 16} {c |}
{space 12}pais {c |}
{space 4}El Salvador  {c |}{col 18}{res}{space 2}-1.309684{col 30}{space 2} .1346898{col 41}{space 1}   -9.72{col 50}{space 3}0.000{col 58}{space 4}-1.574118{col 71}{space 3}-1.045249
{txt}{space 7}Honduras  {c |}{col 18}{res}{space 2} -1.29987{col 30}{space 2} .1303653{col 41}{space 1}   -9.97{col 50}{space 3}0.000{col 58}{space 4}-1.555814{col 71}{space 3}-1.043926
{txt}{space 6}Nicaragua  {c |}{col 18}{res}{space 2} .2090714{col 30}{space 2} .1250865{col 41}{space 1}    1.67{col 50}{space 3}0.095{col 58}{space 4}-.0365087{col 71}{space 3} .4546516
{txt}{space 8}Ecuador  {c |}{col 18}{res}{space 2} .5029237{col 30}{space 2} .1220023{col 41}{space 1}    4.12{col 50}{space 3}0.000{col 58}{space 4} .2633987{col 71}{space 3} .7424487
{txt}{space 8}Bolivia  {c |}{col 18}{res}{space 2}-.3322072{col 30}{space 2} .1147702{col 41}{space 1}   -2.89{col 50}{space 3}0.004{col 58}{space 4}-.5575336{col 71}{space 3}-.1068807
{txt}{space 11}Peru  {c |}{col 18}{res}{space 2} .8649995{col 30}{space 2} .1213384{col 41}{space 1}    7.13{col 50}{space 3}0.000{col 58}{space 4} .6267779{col 71}{space 3} 1.103221
{txt}{space 6}Venezuela  {c |}{col 18}{res}{space 2}-.0147129{col 30}{space 2} .1260904{col 41}{space 1}   -0.12{col 50}{space 3}0.907{col 58}{space 4} -.262264{col 71}{space 3} .2328382
{txt}{space 6}Argentina  {c |}{col 18}{res}{space 2} .3644068{col 30}{space 2} .1195898{col 41}{space 1}    3.05{col 50}{space 3}0.002{col 58}{space 4} .1296182{col 71}{space 3} .5991954
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-.5673886{col 30}{space 2} .1703917{col 41}{space 1}   -3.33{col 50}{space 3}0.001{col 58}{space 4}-.9019157{col 71}{space 3}-.2328614
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)
(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       61{txt}{col 49}Number of obs{col 67}= {res}     7,442
{txt}{col 1}Number of PSUs{col 20}= {res}      777{txt}{col 49}Population size{col 67}={res} 6,518.6003
{txt}{col 49}Design df{col 67}= {res}       716
{txt}{col 49}F({res}  15{txt},{res}    702{txt}){col 67}= {res}     43.95
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}  Linearized
{col 1}     sumauthtmin{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
authoritarianism {c |}{col 18}{res}{space 2} .2489335{col 30}{space 2} .1129724{col 41}{space 1}    2.20{col 50}{space 3}0.028{col 58}{space 4} .0271367{col 71}{space 3} .4707303
{txt}{space 8}rightist {c |}{col 18}{res}{space 2} .0480233{col 30}{space 2} .0737775{col 41}{space 1}    0.65{col 50}{space 3}0.515{col 58}{space 4}-.0968228{col 71}{space 3} .1928694
{txt}{space 12}PSA5 {c |}{col 18}{res}{space 2} 1.733779{col 30}{space 2} .1382003{col 41}{space 1}   12.55{col 50}{space 3}0.000{col 58}{space 4} 1.462453{col 71}{space 3} 2.005106
{txt}{space 11}mujer {c |}{col 18}{res}{space 2}  -.01482{col 30}{space 2} .0531888{col 41}{space 1}   -0.28{col 50}{space 3}0.781{col 58}{space 4}-.1192446{col 71}{space 3} .0896047
{txt}{space 13}edr {c |}{col 18}{res}{space 2}-.3451775{col 30}{space 2} .1145788{col 41}{space 1}   -3.01{col 50}{space 3}0.003{col 58}{space 4}-.5701281{col 71}{space 3}-.1202269
{txt}{space 8}quintall {c |}{col 18}{res}{space 2}-.1999045{col 30}{space 2} .0846625{col 41}{space 1}   -2.36{col 50}{space 3}0.018{col 58}{space 4} -.366121{col 71}{space 3} -.033688
{txt}{space 10}colorr {c |}{col 18}{res}{space 2} .5383009{col 30}{space 2} .1987561{col 41}{space 1}    2.71{col 50}{space 3}0.007{col 58}{space 4} .1480866{col 71}{space 3} .9285153
{txt}{space 16} {c |}
{space 12}pais {c |}
{space 4}El Salvador  {c |}{col 18}{res}{space 2}-1.441355{col 30}{space 2}  .129671{col 41}{space 1}  -11.12{col 50}{space 3}0.000{col 58}{space 4}-1.695936{col 71}{space 3}-1.186774
{txt}{space 7}Honduras  {c |}{col 18}{res}{space 2}-1.214566{col 30}{space 2} .1296858{col 41}{space 1}   -9.37{col 50}{space 3}0.000{col 58}{space 4}-1.469176{col 71}{space 3}-.9599556
{txt}{space 6}Nicaragua  {c |}{col 18}{res}{space 2} .0754804{col 30}{space 2} .1215907{col 41}{space 1}    0.62{col 50}{space 3}0.535{col 58}{space 4}-.1632364{col 71}{space 3} .3141972
{txt}{space 8}Ecuador  {c |}{col 18}{res}{space 2} .4812831{col 30}{space 2} .1207088{col 41}{space 1}    3.99{col 50}{space 3}0.000{col 58}{space 4} .2442976{col 71}{space 3} .7182685
{txt}{space 8}Bolivia  {c |}{col 18}{res}{space 2}-.3046865{col 30}{space 2} .1120242{col 41}{space 1}   -2.72{col 50}{space 3}0.007{col 58}{space 4}-.5246217{col 71}{space 3}-.0847513
{txt}{space 11}Peru  {c |}{col 18}{res}{space 2} .8954784{col 30}{space 2} .1217969{col 41}{space 1}    7.35{col 50}{space 3}0.000{col 58}{space 4} .6563568{col 71}{space 3}   1.1346
{txt}{space 6}Venezuela  {c |}{col 18}{res}{space 2}-.0406046{col 30}{space 2} .1214646{col 41}{space 1}   -0.33{col 50}{space 3}0.738{col 58}{space 4}-.2790739{col 71}{space 3} .1978647
{txt}{space 6}Argentina  {c |}{col 18}{res}{space 2} .3688523{col 30}{space 2} .1129356{col 41}{space 1}    3.27{col 50}{space 3}0.001{col 58}{space 4} .1471279{col 71}{space 3} .5905768
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-1.289872{col 30}{space 2} .1742562{col 41}{space 1}   -7.40{col 50}{space 3}0.000{col 58}{space 4}-1.631986{col 71}{space 3}-.9477579
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)
(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       43{txt}{col 49}Number of obs{col 67}= {res}     5,096
{txt}{col 1}Number of PSUs{col 20}= {res}      584{txt}{col 49}Population size{col 67}={res} 4,290.0826
{txt}{col 49}Design df{col 67}= {res}       541
{txt}{col 49}F({res}  12{txt},{res}    530{txt}){col 67}= {res}     12.56
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}  Linearized
{col 1}       lwaleader{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
authoritarianism {c |}{col 18}{res}{space 2} .0699937{col 30}{space 2}   .12981{col 41}{space 1}    0.54{col 50}{space 3}0.590{col 58}{space 4}-.1849998{col 71}{space 3} .3249871
{txt}{space 8}rightist {c |}{col 18}{res}{space 2}-.3351651{col 30}{space 2} .0879076{col 41}{space 1}   -3.81{col 50}{space 3}0.000{col 58}{space 4}-.5078472{col 71}{space 3} -.162483
{txt}{space 12}ing4 {c |}{col 18}{res}{space 2} .3921607{col 30}{space 2} .1272165{col 41}{space 1}    3.08{col 50}{space 3}0.002{col 58}{space 4} .1422618{col 71}{space 3} .6420595
{txt}{space 11}mujer {c |}{col 18}{res}{space 2} -.095394{col 30}{space 2} .0617834{col 41}{space 1}   -1.54{col 50}{space 3}0.123{col 58}{space 4}-.2167587{col 71}{space 3} .0259707
{txt}{space 13}edr {c |}{col 18}{res}{space 2}-.3387622{col 30}{space 2} .1407123{col 41}{space 1}   -2.41{col 50}{space 3}0.016{col 58}{space 4}-.6151715{col 71}{space 3}-.0623528
{txt}{space 8}quintall {c |}{col 18}{res}{space 2}-.3392512{col 30}{space 2} .1025633{col 41}{space 1}   -3.31{col 50}{space 3}0.001{col 58}{space 4}-.5407223{col 71}{space 3}-.1377801
{txt}{space 10}colorr {c |}{col 18}{res}{space 2} .9564475{col 30}{space 2} .2407564{col 41}{space 1}    3.97{col 50}{space 3}0.000{col 58}{space 4} .4835156{col 71}{space 3}  1.42938
{txt}{space 16} {c |}
{space 12}pais {c |}
{space 8}Ecuador  {c |}{col 18}{res}{space 2} .2639809{col 30}{space 2} .1381998{col 41}{space 1}    1.91{col 50}{space 3}0.057{col 58}{space 4}-.0074931{col 71}{space 3} .5354549
{txt}{space 8}Bolivia  {c |}{col 18}{res}{space 2}-.5960176{col 30}{space 2} .1294294{col 41}{space 1}   -4.60{col 50}{space 3}0.000{col 58}{space 4}-.8502634{col 71}{space 3}-.3417718
{txt}{space 11}Peru  {c |}{col 18}{res}{space 2} -.348216{col 30}{space 2}   .13783{col 41}{space 1}   -2.53{col 50}{space 3}0.012{col 58}{space 4}-.6189634{col 71}{space 3}-.0774685
{txt}{space 6}Venezuela  {c |}{col 18}{res}{space 2}-.2035639{col 30}{space 2} .1400022{col 41}{space 1}   -1.45{col 50}{space 3}0.147{col 58}{space 4}-.4785784{col 71}{space 3} .0714506
{txt}{space 6}Argentina  {c |}{col 18}{res}{space 2} .1614344{col 30}{space 2} .1355504{col 41}{space 1}    1.19{col 50}{space 3}0.234{col 58}{space 4}-.1048353{col 71}{space 3} .4277041
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-.2843112{col 30}{space 2}  .219663{col 41}{space 1}   -1.29{col 50}{space 3}0.196{col 58}{space 4} -.715808{col 71}{space 3} .1471857
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est3{txt} stored)
(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       43{txt}{col 49}Number of obs{col 67}= {res}     5,200
{txt}{col 1}Number of PSUs{col 20}= {res}      584{txt}{col 49}Population size{col 67}={res} 4,387.2095
{txt}{col 49}Design df{col 67}= {res}       541
{txt}{col 49}F({res}  12{txt},{res}    530{txt}){col 67}= {res}     26.28
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}  Linearized
{col 1}       lwaleader{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
authoritarianism {c |}{col 18}{res}{space 2} .0382195{col 30}{space 2} .1296277{col 41}{space 1}    0.29{col 50}{space 3}0.768{col 58}{space 4}-.2164158{col 71}{space 3} .2928547
{txt}{space 8}rightist {c |}{col 18}{res}{space 2}-.2865888{col 30}{space 2} .0876115{col 41}{space 1}   -3.27{col 50}{space 3}0.001{col 58}{space 4}-.4586891{col 71}{space 3}-.1144885
{txt}{space 12}PSA5 {c |}{col 18}{res}{space 2} 2.128782{col 30}{space 2} .1620833{col 41}{space 1}   13.13{col 50}{space 3}0.000{col 58}{space 4} 1.810392{col 71}{space 3} 2.447172
{txt}{space 11}mujer {c |}{col 18}{res}{space 2}-.0943041{col 30}{space 2} .0629915{col 41}{space 1}   -1.50{col 50}{space 3}0.135{col 58}{space 4}-.2180421{col 71}{space 3} .0294338
{txt}{space 13}edr {c |}{col 18}{res}{space 2}-.2349668{col 30}{space 2} .1391809{col 41}{space 1}   -1.69{col 50}{space 3}0.092{col 58}{space 4}-.5083681{col 71}{space 3} .0384345
{txt}{space 8}quintall {c |}{col 18}{res}{space 2}-.3155892{col 30}{space 2} .1026902{col 41}{space 1}   -3.07{col 50}{space 3}0.002{col 58}{space 4}-.5173096{col 71}{space 3}-.1138688
{txt}{space 10}colorr {c |}{col 18}{res}{space 2} .9065125{col 30}{space 2} .2415576{col 41}{space 1}    3.75{col 50}{space 3}0.000{col 58}{space 4} .4320068{col 71}{space 3} 1.381018
{txt}{space 16} {c |}
{space 12}pais {c |}
{space 8}Ecuador  {c |}{col 18}{res}{space 2} .3934198{col 30}{space 2} .1375627{col 41}{space 1}    2.86{col 50}{space 3}0.004{col 58}{space 4} .1231973{col 71}{space 3} .6636423
{txt}{space 8}Bolivia  {c |}{col 18}{res}{space 2}-.4134902{col 30}{space 2} .1277949{col 41}{space 1}   -3.24{col 50}{space 3}0.001{col 58}{space 4}-.6645252{col 71}{space 3}-.1624553
{txt}{space 11}Peru  {c |}{col 18}{res}{space 2}-.1996618{col 30}{space 2} .1379442{col 41}{space 1}   -1.45{col 50}{space 3}0.148{col 58}{space 4}-.4706336{col 71}{space 3}   .07131
{txt}{space 6}Venezuela  {c |}{col 18}{res}{space 2}-.1028849{col 30}{space 2} .1361006{col 41}{space 1}   -0.76{col 50}{space 3}0.450{col 58}{space 4}-.3702352{col 71}{space 3} .1644654
{txt}{space 6}Argentina  {c |}{col 18}{res}{space 2} .3050633{col 30}{space 2} .1301991{col 41}{space 1}    2.34{col 50}{space 3}0.019{col 58}{space 4} .0493056{col 71}{space 3}  .560821
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2} -1.33183{col 30}{space 2} .2218252{col 41}{space 1}   -6.00{col 50}{space 3}0.000{col 58}{space 4}-1.767574{col 71}{space 3}-.8960853
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est4{txt} stored)
(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       25{txt}{col 49}Number of obs{col 67}= {res}     2,861
{txt}{col 1}Number of PSUs{col 20}= {res}      303{txt}{col 49}Population size{col 67}={res} 2,761.7769
{txt}{col 49}Design df{col 67}= {res}       278
{txt}{col 49}F({res}  10{txt},{res}    269{txt}){col 67}= {res}     19.80
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}  Linearized
{col 1}       rwaleader{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
authoritarianism {c |}{col 18}{res}{space 2} .6185923{col 30}{space 2} .2061864{col 41}{space 1}    3.00{col 50}{space 3}0.003{col 58}{space 4} .2127074{col 71}{space 3} 1.024477
{txt}{space 8}rightist {c |}{col 18}{res}{space 2} .6215436{col 30}{space 2} .1158145{col 41}{space 1}    5.37{col 50}{space 3}0.000{col 58}{space 4} .3935588{col 71}{space 3} .8495283
{txt}{space 12}ing4 {c |}{col 18}{res}{space 2} .1748537{col 30}{space 2} .1565621{col 41}{space 1}    1.12{col 50}{space 3}0.265{col 58}{space 4} -.133344{col 71}{space 3} .4830515
{txt}{space 11}mujer {c |}{col 18}{res}{space 2} .1335636{col 30}{space 2} .0887626{col 41}{space 1}    1.50{col 50}{space 3}0.134{col 58}{space 4}-.0411686{col 71}{space 3} .3082958
{txt}{space 13}edr {c |}{col 18}{res}{space 2}-.3465657{col 30}{space 2} .1832595{col 41}{space 1}   -1.89{col 50}{space 3}0.060{col 58}{space 4}-.7073182{col 71}{space 3} .0141868
{txt}{space 8}quintall {c |}{col 18}{res}{space 2} -.016485{col 30}{space 2} .1376673{col 41}{space 1}   -0.12{col 50}{space 3}0.905{col 58}{space 4}-.2874878{col 71}{space 3} .2545178
{txt}{space 10}colorr {c |}{col 18}{res}{space 2}-.4799966{col 30}{space 2} .3263452{col 41}{space 1}   -1.47{col 50}{space 3}0.142{col 58}{space 4}-1.122418{col 71}{space 3}  .162425
{txt}{space 16} {c |}
{space 12}pais {c |}
{space 4}El Salvador  {c |}{col 18}{res}{space 2}-1.552035{col 30}{space 2} .1326645{col 41}{space 1}  -11.70{col 50}{space 3}0.000{col 58}{space 4}-1.813189{col 71}{space 3} -1.29088
{txt}{space 7}Honduras  {c |}{col 18}{res}{space 2}-1.370912{col 30}{space 2} .1345942{col 41}{space 1}  -10.19{col 50}{space 3}0.000{col 58}{space 4}-1.635866{col 71}{space 3}-1.105959
{txt}{space 11}Peru  {c |}{col 18}{res}{space 2}-.8454843{col 30}{space 2} .1334318{col 41}{space 1}   -6.34{col 50}{space 3}0.000{col 58}{space 4}-1.108149{col 71}{space 3}-.5828193
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}  -.61009{col 30}{space 2} .2604192{col 41}{space 1}   -2.34{col 50}{space 3}0.020{col 58}{space 4}-1.122734{col 71}{space 3} -.097446
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est5{txt} stored)
(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       25{txt}{col 49}Number of obs{col 67}= {res}     2,977
{txt}{col 1}Number of PSUs{col 20}= {res}      303{txt}{col 49}Population size{col 67}={res} 2,866.3909
{txt}{col 49}Design df{col 67}= {res}       278
{txt}{col 49}F({res}  10{txt},{res}    269{txt}){col 67}= {res}     21.68
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}  Linearized
{col 1}       rwaleader{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
authoritarianism {c |}{col 18}{res}{space 2}  .641004{col 30}{space 2} .2078472{col 41}{space 1}    3.08{col 50}{space 3}0.002{col 58}{space 4} .2318497{col 71}{space 3} 1.050158
{txt}{space 8}rightist {c |}{col 18}{res}{space 2} .6424098{col 30}{space 2} .1135303{col 41}{space 1}    5.66{col 50}{space 3}0.000{col 58}{space 4} .4189215{col 71}{space 3} .8658982
{txt}{space 12}PSA5 {c |}{col 18}{res}{space 2} .3135543{col 30}{space 2} .2415421{col 41}{space 1}    1.30{col 50}{space 3}0.195{col 58}{space 4}-.1619295{col 71}{space 3} .7890382
{txt}{space 11}mujer {c |}{col 18}{res}{space 2}  .127018{col 30}{space 2} .0882545{col 41}{space 1}    1.44{col 50}{space 3}0.151{col 58}{space 4} -.046714{col 71}{space 3} .3007499
{txt}{space 13}edr {c |}{col 18}{res}{space 2}-.4131063{col 30}{space 2}  .179028{col 41}{space 1}   -2.31{col 50}{space 3}0.022{col 58}{space 4}-.7655289{col 71}{space 3}-.0606836
{txt}{space 8}quintall {c |}{col 18}{res}{space 2} .0006755{col 30}{space 2} .1391508{col 41}{space 1}    0.00{col 50}{space 3}0.996{col 58}{space 4}-.2732476{col 71}{space 3} .2745987
{txt}{space 10}colorr {c |}{col 18}{res}{space 2}-.4619568{col 30}{space 2} .3274328{col 41}{space 1}   -1.41{col 50}{space 3}0.159{col 58}{space 4}-1.106519{col 71}{space 3} .1826059
{txt}{space 16} {c |}
{space 12}pais {c |}
{space 4}El Salvador  {c |}{col 18}{res}{space 2}-1.575187{col 30}{space 2} .1256927{col 41}{space 1}  -12.53{col 50}{space 3}0.000{col 58}{space 4}-1.822617{col 71}{space 3}-1.327757
{txt}{space 7}Honduras  {c |}{col 18}{res}{space 2}-1.383865{col 30}{space 2} .1345233{col 41}{space 1}  -10.29{col 50}{space 3}0.000{col 58}{space 4}-1.648679{col 71}{space 3}-1.119051
{txt}{space 11}Peru  {c |}{col 18}{res}{space 2}-.8055347{col 30}{space 2} .1331338{col 41}{space 1}   -6.05{col 50}{space 3}0.000{col 58}{space 4}-1.067613{col 71}{space 3}-.5434562
{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-.6672625{col 30}{space 2} .2728265{col 41}{space 1}   -2.45{col 50}{space 3}0.015{col 58}{space 4}-1.204331{col 71}{space 3}-.1301941
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est6{txt} stored)

{com}. esttab, b(3) se(3) nopar nogaps star(* .05) keep(authoritarianism rightist ing4 PSA5 mujer edr quintall colorr _cons)
{res}
{txt}{hline 96}
{txt}                      (1)           (2)           (3)           (4)           (5)           (6) 
{txt}              sumauthtmin   sumauthtmin     lwaleader     lwaleader     rwaleader     rwaleader 
{txt}{hline 96}
{res}main                                                                                            {txt}
{txt}authoritar~m{res}        0.255*        0.249*        0.070         0.038         0.619*        0.641*{txt}
            {res}        0.113         0.113         0.130         0.130         0.206         0.208 {txt}
{txt}rightist    {res}        0.008         0.048        -0.335*       -0.287*        0.622*        0.642*{txt}
            {res}        0.075         0.074         0.088         0.088         0.116         0.114 {txt}
{txt}ing4        {res}        0.344*                      0.392*                      0.175               {txt}
            {res}        0.099                       0.127                       0.157               {txt}
{txt}mujer       {res}       -0.015        -0.015        -0.095        -0.094         0.134         0.127 {txt}
            {res}        0.053         0.053         0.062         0.063         0.089         0.088 {txt}
{txt}edr         {res}       -0.391*       -0.345*       -0.339*       -0.235        -0.347        -0.413*{txt}
            {res}        0.116         0.115         0.141         0.139         0.183         0.179 {txt}
{txt}quintall    {res}       -0.225*       -0.200*       -0.339*       -0.316*       -0.016         0.001 {txt}
            {res}        0.085         0.085         0.103         0.103         0.138         0.139 {txt}
{txt}colorr      {res}        0.535*        0.538*        0.956*        0.907*       -0.480        -0.462 {txt}
            {res}        0.199         0.199         0.241         0.242         0.326         0.327 {txt}
{txt}PSA5        {res}                      1.734*                      2.129*                      0.314 {txt}
            {res}                      0.138                       0.162                       0.242 {txt}
{txt}_cons       {res}       -0.567*       -1.290*       -0.284        -1.332*       -0.610*       -0.667*{txt}
            {res}        0.170         0.174         0.220         0.222         0.260         0.273 {txt}
{txt}{hline 96}
{txt}N           {res}         7232          7442          5096          5200          2861          2977 {txt}
{txt}{hline 96}
{txt}Standard errors in second row
{txt}* p<.05

{com}. 
. ******** Table A6. RETROSPECTIVE VOTE CHOICE model interacting authoritarianism with a dummy for a country with an LWA candidate
. eststo clear
{txt}
{com}. svy: logit sumauthtmin c.authoritarianism##c.lwacountrypast c.rightist##c.lwacountrypast c.ing4##c.lwacountrypast c.PSA5##c.lwacountrypast ///
>         mujer edr quintall colorr i.pais
{txt}(running logit on estimation sample)
{res}
{txt}note: lwacountrypast omitted because of collinearity
note: lwacountrypast omitted because of collinearity
note: lwacountrypast omitted because of collinearity
note: 17.pais omitted because of collinearity

Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       61{txt}{col 49}Number of obs{col 67}= {res}     7,120
{txt}{col 1}Number of PSUs{col 20}= {res}      777{txt}{col 49}Population size{col 67}={res} 6,242.5731
{txt}{col 49}Design df{col 67}= {res}       716
{txt}{col 49}F({res}  20{txt},{res}    697{txt}){col 67}= {res}     36.54
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49}  Linearized
{col 1}                        sumauthtmin{col 37}{c |}      Coef.{col 49}   Std. Err.{col 61}      t{col 69}   P>|t|{col 77}     [95% Con{col 90}f. Interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}authoritarianism {c |}{col 37}{res}{space 2} .4864743{col 49}{space 2} .2359317{col 60}{space 1}    2.06{col 69}{space 3}0.040{col 77}{space 4} .0232736{col 90}{space 3}  .949675
{txt}{space 21}lwacountrypast {c |}{col 37}{res}{space 2}-.3371513{col 49}{space 2} .3231955{col 60}{space 1}   -1.04{col 69}{space 3}0.297{col 77}{space 4}-.9716754{col 90}{space 3} .2973727
{txt}{space 35} {c |}
c.authoritarianism#c.lwacountrypast {c |}{col 37}{res}{space 2}-.3248008{col 49}{space 2} .2687998{col 60}{space 1}   -1.21{col 69}{space 3}0.227{col 77}{space 4}-.8525307{col 90}{space 3} .2029291
{txt}{space 35} {c |}
{space 27}rightist {c |}{col 37}{res}{space 2} .7615975{col 49}{space 2} .1364148{col 60}{space 1}    5.58{col 69}{space 3}0.000{col 77}{space 4} .4937766{col 90}{space 3} 1.029418
{txt}{space 21}lwacountrypast {c |}{col 37}{res}{space 2}        0{col 49}{txt}  (omitted)
{space 35} {c |}
{space 8}c.rightist#c.lwacountrypast {c |}{col 37}{res}{space 2}-.9959774{col 49}{space 2} .1638254{col 60}{space 1}   -6.08{col 69}{space 3}0.000{col 77}{space 4}-1.317613{col 90}{space 3}-.6743418
{txt}{space 35} {c |}
{space 31}ing4 {c |}{col 37}{res}{space 2} .1132512{col 49}{space 2} .1684836{col 60}{space 1}    0.67{col 69}{space 3}0.502{col 77}{space 4}-.2175298{col 90}{space 3} .4440321
{txt}{space 21}lwacountrypast {c |}{col 37}{res}{space 2}        0{col 49}{txt}  (omitted)
{space 35} {c |}
{space 12}c.ing4#c.lwacountrypast {c |}{col 37}{res}{space 2} .0687541{col 49}{space 2} .2127932{col 60}{space 1}    0.32{col 69}{space 3}0.747{col 77}{space 4}-.3490192{col 90}{space 3} .4865274
{txt}{space 35} {c |}
{space 31}PSA5 {c |}{col 37}{res}{space 2} .3291982{col 49}{space 2} .3021937{col 60}{space 1}    1.09{col 69}{space 3}0.276{col 77}{space 4}-.2640935{col 90}{space 3} .9224899
{txt}{space 21}lwacountrypast {c |}{col 37}{res}{space 2}        0{col 49}{txt}  (omitted)
{space 35} {c |}
{space 12}c.PSA5#c.lwacountrypast {c |}{col 37}{res}{space 2} 1.834013{col 49}{space 2} .3429671{col 60}{space 1}    5.35{col 69}{space 3}0.000{col 77}{space 4} 1.160672{col 90}{space 3} 2.507355
{txt}{space 35} {c |}
{space 30}mujer {c |}{col 37}{res}{space 2}-.0289808{col 49}{space 2} .0548522{col 60}{space 1}   -0.53{col 69}{space 3}0.597{col 77}{space 4}-.1366712{col 90}{space 3} .0787096
{txt}{space 32}edr {c |}{col 37}{res}{space 2}-.3125735{col 49}{space 2} .1187236{col 60}{space 1}   -2.63{col 69}{space 3}0.009{col 77}{space 4}-.5456615{col 90}{space 3}-.0794854
{txt}{space 27}quintall {c |}{col 37}{res}{space 2}-.2312714{col 49}{space 2}   .08837{col 60}{space 1}   -2.62{col 69}{space 3}0.009{col 77}{space 4}-.4047667{col 90}{space 3}-.0577762
{txt}{space 29}colorr {c |}{col 37}{res}{space 2} .4458267{col 49}{space 2} .2033385{col 60}{space 1}    2.19{col 69}{space 3}0.029{col 77}{space 4} .0466158{col 90}{space 3} .8450376
{txt}{space 35} {c |}
{space 31}pais {c |}
{space 23}El Salvador  {c |}{col 37}{res}{space 2}  -1.5421{col 49}{space 2} .1332425{col 60}{space 1}  -11.57{col 69}{space 3}0.000{col 77}{space 4}-1.803693{col 90}{space 3}-1.280507
{txt}{space 26}Honduras  {c |}{col 37}{res}{space 2}-1.362605{col 49}{space 2} .1395191{col 60}{space 1}   -9.77{col 69}{space 3}0.000{col 77}{space 4} -1.63652{col 90}{space 3}-1.088689
{txt}{space 25}Nicaragua  {c |}{col 37}{res}{space 2}-.2250887{col 49}{space 2} .1313141{col 60}{space 1}   -1.71{col 69}{space 3}0.087{col 77}{space 4}-.4828955{col 90}{space 3} .0327181
{txt}{space 27}Ecuador  {c |}{col 37}{res}{space 2}  .173563{col 49}{space 2} .1313707{col 60}{space 1}    1.32{col 69}{space 3}0.187{col 77}{space 4}-.0843547{col 90}{space 3} .4314808
{txt}{space 27}Bolivia  {c |}{col 37}{res}{space 2}-.6183106{col 49}{space 2} .1220037{col 60}{space 1}   -5.07{col 69}{space 3}0.000{col 77}{space 4}-.8578384{col 90}{space 3}-.3787829
{txt}{space 30}Peru  {c |}{col 37}{res}{space 2} .6262868{col 49}{space 2} .1295689{col 60}{space 1}    4.83{col 69}{space 3}0.000{col 77}{space 4} .3719064{col 90}{space 3} .8806672
{txt}{space 25}Venezuela  {c |}{col 37}{res}{space 2}-.3766816{col 49}{space 2} .1233122{col 60}{space 1}   -3.05{col 69}{space 3}0.002{col 77}{space 4}-.6187783{col 90}{space 3}-.1345849
{txt}{space 25}Argentina  {c |}{col 37}{res}{space 2}        0{col 49}{txt}  (omitted)
{space 35} {c |}
{space 30}_cons {c |}{col 37}{res}{space 2}-.8518419{col 49}{space 2} .2860772{col 60}{space 1}   -2.98{col 69}{space 3}0.003{col 77}{space 4}-1.413492{col 90}{space 3}-.2901916
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo
{txt}({res}est1{txt} stored)

{com}. esttab, b(3) se(3) nogaps nopar wide star(* .05) ///
>         keep(authoritarianism rightist ing4 PSA5 ///
>         c.rightist#c.lwacountrypast c.authoritarianism#c.lwacountrypast c.ing4#c.lwacountrypast c.PSA5#c.lwacountrypast lwacountrypast ///
>         mujer edr quintall colorr _cons)
{res}
{txt}{hline 39}
{txt}                      (1)              
{txt}              sumauthtmin              
{txt}{hline 39}
{res}sumauthtmin                            {txt}
{txt}authoritar~m{res}        0.486*        0.236{txt}
{txt}lwacountry~t{res}       -0.337         0.323{txt}
{txt}c.authorit~s{res}       -0.325         0.269{txt}
{txt}rightist    {res}        0.762*        0.136{txt}
{txt}lwacountry~t{res}        0.000             .{txt}
{txt}c.rightist~t{res}       -0.996*        0.164{txt}
{txt}ing4        {res}        0.113         0.168{txt}
{txt}lwacountry~t{res}        0.000             .{txt}
{txt}c.ing4#c.l~t{res}        0.069         0.213{txt}
{txt}PSA5        {res}        0.329         0.302{txt}
{txt}lwacountry~t{res}        0.000             .{txt}
{txt}c.PSA5#c.l~t{res}        1.834*        0.343{txt}
{txt}mujer       {res}       -0.029         0.055{txt}
{txt}edr         {res}       -0.313*        0.119{txt}
{txt}quintall    {res}       -0.231*        0.088{txt}
{txt}colorr      {res}        0.446*        0.203{txt}
{txt}_cons       {res}       -0.852*        0.286{txt}
{txt}{hline 39}
{txt}N           {res}         7120              {txt}
{txt}{hline 39}
{txt}Standard errors in second column
{txt}* p<.05

{com}. 
. ******** Table A7. RETROSPECTIVE VOTE CHOICE model: interacting authoritarianism with rightism
. eststo clear
{txt}
{com}. foreach dv in lwaleader rwaleader {c -(}
{txt}  2{com}.         svy: logit `dv' c.authoritarianism##c.rightist ing4 PSA5 mujer edr quintall colorr i.pais 
{txt}  3{com}.         eststo
{txt}  4{com}. {c )-}
{txt}(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       43{txt}{col 49}Number of obs{col 67}= {res}     5,026
{txt}{col 1}Number of PSUs{col 20}= {res}      584{txt}{col 49}Population size{col 67}={res} 4,245.8812
{txt}{col 49}Design df{col 67}= {res}       541
{txt}{col 49}F({res}  14{txt},{res}    528{txt}){col 67}= {res}     22.05
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}  Linearized
{col 1}                    lwaleader{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      t{col 63}   P>|t|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}authoritarianism {c |}{col 31}{res}{space 2}-.0663898{col 43}{space 2} .1419737{col 54}{space 1}   -0.47{col 63}{space 3}0.640{col 71}{space 4} -.345277{col 84}{space 3} .2124974
{txt}{space 21}rightist {c |}{col 31}{res}{space 2} -.815484{col 43}{space 2} .2626988{col 54}{space 1}   -3.10{col 63}{space 3}0.002{col 71}{space 4}-1.331519{col 84}{space 3}-.2994493
{txt}{space 29} {c |}
c.authoritarianism#c.rightist {c |}{col 31}{res}{space 2} .6826047{col 43}{space 2} .3367619{col 54}{space 1}    2.03{col 63}{space 3}0.043{col 71}{space 4} .0210835{col 84}{space 3} 1.344126
{txt}{space 29} {c |}
{space 25}ing4 {c |}{col 31}{res}{space 2} .1892789{col 43}{space 2} .1338099{col 54}{space 1}    1.41{col 63}{space 3}0.158{col 71}{space 4}-.0735717{col 84}{space 3} .4521294
{txt}{space 25}PSA5 {c |}{col 31}{res}{space 2} 2.134332{col 43}{space 2}  .166314{col 54}{space 1}   12.83{col 63}{space 3}0.000{col 71}{space 4} 1.807632{col 84}{space 3} 2.461032
{txt}{space 24}mujer {c |}{col 31}{res}{space 2}-.1058481{col 43}{space 2} .0641894{col 54}{space 1}   -1.65{col 63}{space 3}0.100{col 71}{space 4}-.2319391{col 84}{space 3} .0202429
{txt}{space 26}edr {c |}{col 31}{res}{space 2}-.2416458{col 43}{space 2} .1427643{col 54}{space 1}   -1.69{col 63}{space 3}0.091{col 71}{space 4}-.5220861{col 84}{space 3} .0387945
{txt}{space 21}quintall {c |}{col 31}{res}{space 2}-.3292632{col 43}{space 2} .1059212{col 54}{space 1}   -3.11{col 63}{space 3}0.002{col 71}{space 4}-.5373304{col 84}{space 3}-.1211959
{txt}{space 23}colorr {c |}{col 31}{res}{space 2} .8217178{col 43}{space 2} .2438445{col 54}{space 1}    3.37{col 63}{space 3}0.001{col 71}{space 4} .3427197{col 84}{space 3} 1.300716
{txt}{space 29} {c |}
{space 25}pais {c |}
{space 21}Ecuador  {c |}{col 31}{res}{space 2}  .395027{col 43}{space 2}   .13923{col 54}{space 1}    2.84{col 63}{space 3}0.005{col 71}{space 4} .1215293{col 84}{space 3} .6685247
{txt}{space 21}Bolivia  {c |}{col 31}{res}{space 2}-.4186156{col 43}{space 2} .1280913{col 54}{space 1}   -3.27{col 63}{space 3}0.001{col 71}{space 4}-.6702328{col 84}{space 3}-.1669984
{txt}{space 24}Peru  {c |}{col 31}{res}{space 2}-.1863269{col 43}{space 2} .1381765{col 54}{space 1}   -1.35{col 63}{space 3}0.178{col 71}{space 4}-.4577551{col 84}{space 3} .0851014
{txt}{space 19}Venezuela  {c |}{col 31}{res}{space 2}-.1247235{col 43}{space 2}  .135168{col 54}{space 1}   -0.92{col 63}{space 3}0.357{col 71}{space 4} -.390242{col 84}{space 3} .1407951
{txt}{space 19}Argentina  {c |}{col 31}{res}{space 2} .2564297{col 43}{space 2} .1326427{col 54}{space 1}    1.93{col 63}{space 3}0.054{col 71}{space 4}-.0041282{col 84}{space 3} .5169876
{txt}{space 29} {c |}
{space 24}_cons {c |}{col 31}{res}{space 2}-1.332433{col 43}{space 2} .2415867{col 54}{space 1}   -5.52{col 63}{space 3}0.000{col 71}{space 4}-1.806996{col 84}{space 3}-.8578696
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)
(running logit on estimation sample)
{res}
{txt}Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       25{txt}{col 49}Number of obs{col 67}= {res}     2,812
{txt}{col 1}Number of PSUs{col 20}= {res}      303{txt}{col 49}Population size{col 67}={res}  2,714.692
{txt}{col 49}Design df{col 67}= {res}       278
{txt}{col 49}F({res}  12{txt},{res}    267{txt}){col 67}= {res}     17.32
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}  Linearized
{col 1}                    rwaleader{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      t{col 63}   P>|t|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}authoritarianism {c |}{col 31}{res}{space 2} .6092081{col 43}{space 2} .2273996{col 54}{space 1}    2.68{col 63}{space 3}0.008{col 71}{space 4} .1615642{col 84}{space 3} 1.056852
{txt}{space 21}rightist {c |}{col 31}{res}{space 2} .5786412{col 43}{space 2} .3724185{col 54}{space 1}    1.55{col 63}{space 3}0.121{col 71}{space 4}-.1544773{col 84}{space 3}  1.31176
{txt}{space 29} {c |}
c.authoritarianism#c.rightist {c |}{col 31}{res}{space 2} .0523971{col 43}{space 2} .4364881{col 54}{space 1}    0.12{col 63}{space 3}0.905{col 71}{space 4}-.8068446{col 84}{space 3} .9116388
{txt}{space 29} {c |}
{space 25}ing4 {c |}{col 31}{res}{space 2} .1107578{col 43}{space 2} .1606391{col 54}{space 1}    0.69{col 63}{space 3}0.491{col 71}{space 4}-.2054657{col 84}{space 3} .4269812
{txt}{space 25}PSA5 {c |}{col 31}{res}{space 2} .2660034{col 43}{space 2} .2559341{col 54}{space 1}    1.04{col 63}{space 3}0.300{col 71}{space 4}-.2378117{col 84}{space 3} .7698184
{txt}{space 24}mujer {c |}{col 31}{res}{space 2} .1331622{col 43}{space 2} .0897882{col 54}{space 1}    1.48{col 63}{space 3}0.139{col 71}{space 4}-.0435889{col 84}{space 3} .3099133
{txt}{space 26}edr {c |}{col 31}{res}{space 2}-.3973801{col 43}{space 2} .1856227{col 54}{space 1}   -2.14{col 63}{space 3}0.033{col 71}{space 4}-.7627847{col 84}{space 3}-.0319754
{txt}{space 21}quintall {c |}{col 31}{res}{space 2}-.0077216{col 43}{space 2} .1399925{col 54}{space 1}   -0.06{col 63}{space 3}0.956{col 71}{space 4}-.2833016{col 84}{space 3} .2678585
{txt}{space 23}colorr {c |}{col 31}{res}{space 2}-.4794561{col 43}{space 2} .3314448{col 54}{space 1}   -1.45{col 63}{space 3}0.149{col 71}{space 4}-1.131917{col 84}{space 3} .1730043
{txt}{space 29} {c |}
{space 25}pais {c |}
{space 17}El Salvador  {c |}{col 31}{res}{space 2}-1.548673{col 43}{space 2} .1304536{col 54}{space 1}  -11.87{col 63}{space 3}0.000{col 71}{space 4}-1.805475{col 84}{space 3} -1.29187
{txt}{space 20}Honduras  {c |}{col 31}{res}{space 2}-1.350714{col 43}{space 2} .1370431{col 54}{space 1}   -9.86{col 63}{space 3}0.000{col 71}{space 4}-1.620488{col 84}{space 3} -1.08094
{txt}{space 24}Peru  {c |}{col 31}{res}{space 2}-.8087072{col 43}{space 2} .1339053{col 54}{space 1}   -6.04{col 63}{space 3}0.000{col 71}{space 4}-1.072304{col 84}{space 3}-.5451101
{txt}{space 29} {c |}
{space 24}_cons {c |}{col 31}{res}{space 2}-.6842679{col 43}{space 2} .2963034{col 54}{space 1}   -2.31{col 63}{space 3}0.022{col 71}{space 4}-1.267551{col 84}{space 3}-.1009845
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)

{com}. esttab, b(3) se(3) nogaps nopar star(+ .10 * .05) ///
>         keep(authoritarianism rightist c.authoritarianism#c.rightist ing4 PSA5 ///
>         mujer edr quintall colorr _cons)
{res}
{txt}{hline 40}
{txt}                      (1)           (2) 
{txt}                lwaleader     rwaleader 
{txt}{hline 40}
{res}main                                    {txt}
{txt}authoritar~m{res}       -0.066         0.609*{txt}
            {res}        0.142         0.227 {txt}
{txt}rightist    {res}       -0.815*        0.579 {txt}
            {res}        0.263         0.372 {txt}
{txt}c.authorit~t{res}        0.683*        0.052 {txt}
            {res}        0.337         0.436 {txt}
{txt}ing4        {res}        0.189         0.111 {txt}
            {res}        0.134         0.161 {txt}
{txt}PSA5        {res}        2.134*        0.266 {txt}
            {res}        0.166         0.256 {txt}
{txt}mujer       {res}       -0.106+        0.133 {txt}
            {res}        0.064         0.090 {txt}
{txt}edr         {res}       -0.242+       -0.397*{txt}
            {res}        0.143         0.186 {txt}
{txt}quintall    {res}       -0.329*       -0.008 {txt}
            {res}        0.106         0.140 {txt}
{txt}colorr      {res}        0.822*       -0.479 {txt}
            {res}        0.244         0.331 {txt}
{txt}_cons       {res}       -1.332*       -0.684*{txt}
            {res}        0.242         0.296 {txt}
{txt}{hline 40}
{txt}N           {res}         5026          2812 {txt}
{txt}{hline 40}
{txt}Standard errors in second row
{txt}+ p<.10, * p<.05

{com}. 
. ******* Figure A1 (Alternate Figure 3). Tripartite Interaction
. global results
{txt}
{com}. cd "C:\Users\aesmith2\Dropbox\Work\research in progress\Under review_authoritarian masses and elites\Final version"
{res}C:\Users\aesmith2\Dropbox\Work\research in progress\Under review_authoritarian masses and elites\Final version
{txt}
{com}. eststo clear
{txt}
{com}. foreach dv in lwaleader rwaleader {c -(}
{txt}  2{com}.         svy: logit `dv' c.authoritarianism##c.rightist c.authoritarianism##c.leftist ing4 PSA5 mujer edr quintall colorr i.pais 
{txt}  3{com}.                 est sto `dv'results
{txt}  4{com}.         forvalues i = 0/1 {c -(}
{txt}  5{com}.                 est restore `dv'results
{txt}  6{com}.                 margins if rightist == `i' & leftist == 0, at((mean) _all authoritarianism=(0 .17 .33 .5 .67 .83 1)) post
{txt}  7{com}.                 parmest, saving(`dv'_rightist`i'_leftist0, replace) idstr(`dv'_rightist`i'_leftist0) flist(results)
{txt}  8{com}.                 {c )-}
{txt}  9{com}.         est restore `dv'results
{txt} 10{com}.         margins if rightist == 0 & leftist == 1, at((mean) _all authoritarianism=(0 .17 .33 .5 .67 .83 1)) post
{txt} 11{com}.         parmest, saving(`dv'_rightist0_leftist1, replace) idstr(`dv'_rightist0_leftist1) flist(results)
{txt} 12{com}. {c )-}
{txt}(running logit on estimation sample)
{res}
{txt}note: authoritarianism omitted because of collinearity

Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       43{txt}{col 49}Number of obs{col 67}= {res}     5,026
{txt}{col 1}Number of PSUs{col 20}= {res}      584{txt}{col 49}Population size{col 67}={res} 4,245.8812
{txt}{col 49}Design df{col 67}= {res}       541
{txt}{col 49}F({res}  16{txt},{res}    526{txt}){col 67}= {res}     26.26
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}  Linearized
{col 1}                    lwaleader{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      t{col 63}   P>|t|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}authoritarianism {c |}{col 31}{res}{space 2}-.1807907{col 43}{space 2} .1678488{col 54}{space 1}   -1.08{col 63}{space 3}0.282{col 71}{space 4}-.5105059{col 84}{space 3} .1489244
{txt}{space 21}rightist {c |}{col 31}{res}{space 2}-.6994648{col 43}{space 2} .2713426{col 54}{space 1}   -2.58{col 63}{space 3}0.010{col 71}{space 4}-1.232479{col 84}{space 3}-.1664507
{txt}{space 29} {c |}
c.authoritarianism#c.rightist {c |}{col 31}{res}{space 2} .8705913{col 43}{space 2} .3490748{col 54}{space 1}    2.49{col 63}{space 3}0.013{col 71}{space 4} .1848831{col 84}{space 3} 1.556299
{txt}{space 29} {c |}
{space 13}authoritarianism {c |}{col 31}{res}{space 2}        0{col 43}{txt}  (omitted)
{space 22}leftist {c |}{col 31}{res}{space 2} .7447434{col 43}{space 2} .2536593{col 54}{space 1}    2.94{col 63}{space 3}0.003{col 71}{space 4} .2464657{col 84}{space 3} 1.243021
{txt}{space 29} {c |}
{space 1}c.authoritarianism#c.leftist {c |}{col 31}{res}{space 2}  .417378{col 43}{space 2} .3193736{col 54}{space 1}    1.31{col 63}{space 3}0.192{col 71}{space 4}-.2099864{col 84}{space 3} 1.044742
{txt}{space 29} {c |}
{space 25}ing4 {c |}{col 31}{res}{space 2} .1914357{col 43}{space 2} .1330057{col 54}{space 1}    1.44{col 63}{space 3}0.151{col 71}{space 4}-.0698351{col 84}{space 3} .4527065
{txt}{space 25}PSA5 {c |}{col 31}{res}{space 2}  1.98774{col 43}{space 2} .1654708{col 54}{space 1}   12.01{col 63}{space 3}0.000{col 71}{space 4} 1.662696{col 84}{space 3} 2.312784
{txt}{space 24}mujer {c |}{col 31}{res}{space 2}-.0956984{col 43}{space 2} .0642904{col 54}{space 1}   -1.49{col 63}{space 3}0.137{col 71}{space 4}-.2219879{col 84}{space 3}  .030591
{txt}{space 26}edr {c |}{col 31}{res}{space 2} -.274315{col 43}{space 2} .1448948{col 54}{space 1}   -1.89{col 63}{space 3}0.059{col 71}{space 4}-.5589402{col 84}{space 3} .0103103
{txt}{space 21}quintall {c |}{col 31}{res}{space 2}-.3593622{col 43}{space 2} .1060952{col 54}{space 1}   -3.39{col 63}{space 3}0.001{col 71}{space 4}-.5677712{col 84}{space 3}-.1509531
{txt}{space 23}colorr {c |}{col 31}{res}{space 2}  .791439{col 43}{space 2} .2470325{col 54}{space 1}    3.20{col 63}{space 3}0.001{col 71}{space 4} .3061786{col 84}{space 3} 1.276699
{txt}{space 29} {c |}
{space 25}pais {c |}
{space 21}Ecuador  {c |}{col 31}{res}{space 2} .5822037{col 43}{space 2} .1390792{col 54}{space 1}    4.19{col 63}{space 3}0.000{col 71}{space 4} .3090024{col 84}{space 3} .8554051
{txt}{space 21}Bolivia  {c |}{col 31}{res}{space 2}-.2227898{col 43}{space 2}   .12944{col 54}{space 1}   -1.72{col 63}{space 3}0.086{col 71}{space 4}-.4770563{col 84}{space 3} .0314767
{txt}{space 24}Peru  {c |}{col 31}{res}{space 2} .0242899{col 43}{space 2} .1427442{col 54}{space 1}    0.17{col 63}{space 3}0.865{col 71}{space 4}-.2561108{col 84}{space 3} .3046906
{txt}{space 19}Venezuela  {c |}{col 31}{res}{space 2}-.0518754{col 43}{space 2} .1307093{col 54}{space 1}   -0.40{col 63}{space 3}0.692{col 71}{space 4}-.3086353{col 84}{space 3} .2048845
{txt}{space 19}Argentina  {c |}{col 31}{res}{space 2} .5183994{col 43}{space 2} .1336723{col 54}{space 1}    3.88{col 63}{space 3}0.000{col 71}{space 4}  .255819{col 84}{space 3} .7809799
{txt}{space 29} {c |}
{space 24}_cons {c |}{col 31}{res}{space 2} -1.52001{col 43}{space 2} .2504994{col 54}{space 1}   -6.07{col 63}{space 3}0.000{col 71}{space 4} -2.01208{col 84}{space 3}-1.027939
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(results {stata estimates replay lwaleaderresults:lwaleaderresults} are active now)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     3,251
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(lwaleader), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:rightist}{space 8}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leftist}{space 9}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ing4}{space 12}{txt:=} {space 4}.712085 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:PSA5}{space 12}{txt:=} {space 3}.5238635 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4568745 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 3}.6579572 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4932051 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3596589 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.pais}{space 10}{txt:=} {space 3}.1184828 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.pais}{space 10}{txt:=} {space 3}.1696064 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.pais}{space 9}{txt:=} {space 3}.1896658 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.1850252 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.pais}{space 9}{txt:=} {space 3}.1339964 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.2032235 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 8}.17}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:rightist}{space 8}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leftist}{space 9}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ing4}{space 12}{txt:=} {space 4}.712085 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:PSA5}{space 12}{txt:=} {space 3}.5238635 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4568745 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 3}.6579572 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4932051 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3596589 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.pais}{space 10}{txt:=} {space 3}.1184828 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.pais}{space 10}{txt:=} {space 3}.1696064 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.pais}{space 9}{txt:=} {space 3}.1896658 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.1850252 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.pais}{space 9}{txt:=} {space 3}.1339964 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.2032235 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 8}.33}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:rightist}{space 8}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leftist}{space 9}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ing4}{space 12}{txt:=} {space 4}.712085 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:PSA5}{space 12}{txt:=} {space 3}.5238635 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4568745 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 3}.6579572 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4932051 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3596589 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.pais}{space 10}{txt:=} {space 3}.1184828 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.pais}{space 10}{txt:=} {space 3}.1696064 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.pais}{space 9}{txt:=} {space 3}.1896658 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.1850252 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.pais}{space 9}{txt:=} {space 3}.1339964 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.2032235 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:rightist}{space 8}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leftist}{space 9}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ing4}{space 12}{txt:=} {space 4}.712085 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:PSA5}{space 12}{txt:=} {space 3}.5238635 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4568745 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 3}.6579572 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4932051 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3596589 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.pais}{space 10}{txt:=} {space 3}.1184828 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.pais}{space 10}{txt:=} {space 3}.1696064 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.pais}{space 9}{txt:=} {space 3}.1896658 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.1850252 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.pais}{space 9}{txt:=} {space 3}.1339964 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.2032235 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 8}.67}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:rightist}{space 8}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .4256055{col 26}{space 2} .0313587{col 37}{space 1}   13.57{col 46}{space 3}0.000{col 54}{space 4} .3640057{col 67}{space 3} .4872052
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .4181097{col 26}{space 2}  .024789{col 37}{space 1}   16.87{col 46}{space 3}0.000{col 54}{space 4} .3694152{col 67}{space 3} .4668041
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .4110891{col 26}{space 2} .0189904{col 37}{space 1}   21.65{col 46}{space 3}0.000{col 54}{space 4} .3737852{col 67}{space 3} .4483931
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .4036694{col 26}{space 2} .0137045{col 37}{space 1}   29.46{col 46}{space 3}0.000{col 54}{space 4} .3767487{col 67}{space 3}   .43059
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .3962934{col 26}{space 2} .0105854{col 37}{space 1}   37.44{col 46}{space 3}0.000{col 54}{space 4} .3754998{col 67}{space 3} .4170869
{txt}{space 10}6  {c |}{col 14}{res}{space 2}  .389394{col 26}{space 2} .0112459{col 37}{space 1}   34.63{col 46}{space 3}0.000{col 54}{space 4}  .367303{col 67}{space 3} .4114851
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .3821118{col 26}{space 2} .0151448{col 37}{space 1}   25.23{col 46}{space 3}0.000{col 54}{space 4} .3523619{col 67}{space 3} .4118616
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(note: file lwaleader_rightist0_leftist0.dta not found)
file lwaleader_rightist0_leftist0.dta saved
(results {stata estimates replay lwaleaderresults:lwaleaderresults} are active now)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       838
{txt}Model VCE{col 14}: {res}Linearized

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{p2col:Expression}:{space 1}{res:Pr(lwaleader), predict()}{p_end}
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{p2colreset}{...}

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{p2colreset}{...}
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{p2colreset}{...}

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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}

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{p2colreset}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}

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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4286574 {txt:(mean)}}{p_end}
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{txt}{p2colset 1 14 16 2}{...}
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{p2colreset}{...}

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{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2634635{col 26}{space 2} .0478879{col 37}{space 1}    5.50{col 46}{space 3}0.000{col 54}{space 4} .1693944{col 67}{space 3} .3575325
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2868406{col 26}{space 2} .0403364{col 37}{space 1}    7.11{col 46}{space 3}0.000{col 54}{space 4} .2076054{col 67}{space 3} .3660758
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .3099378{col 26}{space 2} .0327284{col 37}{space 1}    9.47{col 46}{space 3}0.000{col 54}{space 4} .2456475{col 67}{space 3} .3742281
{txt}{space 10}4  {c |}{col 14}{res}{space 2}   .33556{col 26}{space 2} .0250011{col 37}{space 1}   13.42{col 46}{space 3}0.000{col 54}{space 4} .2864489{col 67}{space 3}  .384671
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .3621885{col 26}{space 2} .0199907{col 37}{space 1}   18.12{col 46}{space 3}0.000{col 54}{space 4} .3229197{col 67}{space 3} .4014574
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .3880516{col 26}{space 2} .0211895{col 37}{space 1}   18.31{col 46}{space 3}0.000{col 54}{space 4} .3464279{col 67}{space 3} .4296753
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .4162362{col 26}{space 2} .0288053{col 37}{space 1}   14.45{col 46}{space 3}0.000{col 54}{space 4} .3596523{col 67}{space 3} .4728201
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(note: file lwaleader_rightist1_leftist0.dta not found)
file lwaleader_rightist1_leftist0.dta saved
(results {stata estimates replay lwaleaderresults:lwaleaderresults} are active now)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       937
{txt}Model VCE{col 14}: {res}Linearized

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{p2col:Expression}:{space 1}{res:Pr(lwaleader), predict()}{p_end}
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{p2colreset}{...}
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{p2colreset}{...}

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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}

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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.0858324 {txt:(mean)}}{p_end}
{p2colreset}{...}

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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.pais}{space 10}{txt:=} {space 3}.3039034 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.pais}{space 10}{txt:=} {space 3}.1501361 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.pais}{space 9}{txt:=} {space 3}.1267751 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.1081489 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.pais}{space 9}{txt:=} {space 3}.2252041 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.0858324 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 8}.83}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:rightist}{space 8}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leftist}{space 9}{txt:=} {space 10}1 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ing4}{space 12}{txt:=} {space 3}.7441902 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:PSA5}{space 12}{txt:=} {space 3}.6078392 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.3782814 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 3}.6362676 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.5077937 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3804895 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.pais}{space 10}{txt:=} {space 3}.3039034 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.pais}{space 10}{txt:=} {space 3}.1501361 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.pais}{space 9}{txt:=} {space 3}.1267751 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.1081489 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.pais}{space 9}{txt:=} {space 3}.2252041 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.0858324 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:rightist}{space 8}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leftist}{space 9}{txt:=} {space 10}1 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ing4}{space 12}{txt:=} {space 3}.7441902 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:PSA5}{space 12}{txt:=} {space 3}.6078392 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.3782814 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 3}.6362676 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.5077937 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3804895 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:5.pais}{space 10}{txt:=} {space 3}.3039034 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:9.pais}{space 10}{txt:=} {space 3}.1501361 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:10.pais}{space 9}{txt:=} {space 3}.1267751 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.1081489 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:16.pais}{space 9}{txt:=} {space 3}.2252041 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:17.pais}{space 9}{txt:=} {space 3}.0858324 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .6405941{col 26}{space 2} .0501415{col 37}{space 1}   12.78{col 46}{space 3}0.000{col 54}{space 4} .5420982{col 67}{space 3}   .73909
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .6498008{col 26}{space 2} .0400092{col 37}{space 1}   16.24{col 46}{space 3}0.000{col 54}{space 4} .5712084{col 67}{space 3} .7283931
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .6583652{col 26}{space 2} .0312017{col 37}{space 1}   21.10{col 46}{space 3}0.000{col 54}{space 4} .5970739{col 67}{space 3} .7196566
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .667353{col 26}{space 2} .0232493{col 37}{space 1}   28.70{col 46}{space 3}0.000{col 54}{space 4} .6216831{col 67}{space 3}  .713023
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .6762207{col 26}{space 2} .0182381{col 37}{space 1}   37.08{col 46}{space 3}0.000{col 54}{space 4} .6403946{col 67}{space 3} .7120468
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .6844527{col 26}{space 2} .0181024{col 37}{space 1}   37.81{col 46}{space 3}0.000{col 54}{space 4} .6488932{col 67}{space 3} .7200123
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .6930742{col 26}{space 2} .0225508{col 37}{space 1}   30.73{col 46}{space 3}0.000{col 54}{space 4} .6487763{col 67}{space 3} .7373721
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(note: file lwaleader_rightist0_leftist1.dta not found)
file lwaleader_rightist0_leftist1.dta saved
(running logit on estimation sample)
{res}
{txt}note: authoritarianism omitted because of collinearity

Survey: Logistic regression

{col 1}Number of strata{col 20}= {res}       25{txt}{col 49}Number of obs{col 67}= {res}     2,812
{txt}{col 1}Number of PSUs{col 20}= {res}      303{txt}{col 49}Population size{col 67}={res}  2,714.692
{txt}{col 49}Design df{col 67}= {res}       278
{txt}{col 49}F({res}  14{txt},{res}    265{txt}){col 67}= {res}     15.62
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}  Linearized
{col 1}                    rwaleader{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      t{col 63}   P>|t|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}authoritarianism {c |}{col 31}{res}{space 2} .6270794{col 43}{space 2}   .24617{col 54}{space 1}    2.55{col 63}{space 3}0.011{col 71}{space 4} .1424854{col 84}{space 3} 1.111674
{txt}{space 21}rightist {c |}{col 31}{res}{space 2}  .549424{col 43}{space 2}  .386111{col 54}{space 1}    1.42{col 63}{space 3}0.156{col 71}{space 4}-.2106486{col 84}{space 3} 1.309497
{txt}{space 29} {c |}
c.authoritarianism#c.rightist {c |}{col 31}{res}{space 2} .0224568{col 43}{space 2} .4558984{col 54}{space 1}    0.05{col 63}{space 3}0.961{col 71}{space 4}-.8749946{col 84}{space 3} .9199083
{txt}{space 29} {c |}
{space 13}authoritarianism {c |}{col 31}{res}{space 2}        0{col 43}{txt}  (omitted)
{space 22}leftist {c |}{col 31}{res}{space 2}-.0931464{col 43}{space 2} .4012606{col 54}{space 1}   -0.23{col 63}{space 3}0.817{col 71}{space 4}-.8830416{col 84}{space 3} .6967487
{txt}{space 29} {c |}
{space 1}c.authoritarianism#c.leftist {c |}{col 31}{res}{space 2} -.209895{col 43}{space 2} .4744231{col 54}{space 1}   -0.44{col 63}{space 3}0.659{col 71}{space 4}-1.143813{col 84}{space 3} .7240231
{txt}{space 29} {c |}
{space 25}ing4 {c |}{col 31}{res}{space 2} .1020737{col 43}{space 2} .1621052{col 54}{space 1}    0.63{col 63}{space 3}0.529{col 71}{space 4} -.217036{col 84}{space 3} .4211834
{txt}{space 25}PSA5 {c |}{col 31}{res}{space 2} .2300339{col 43}{space 2} .2572216{col 54}{space 1}    0.89{col 63}{space 3}0.372{col 71}{space 4}-.2763156{col 84}{space 3} .7363834
{txt}{space 24}mujer {c |}{col 31}{res}{space 2} .1219264{col 43}{space 2}  .089441{col 54}{space 1}    1.36{col 63}{space 3}0.174{col 71}{space 4}-.0541413{col 84}{space 3} .2979941
{txt}{space 26}edr {c |}{col 31}{res}{space 2} -.395515{col 43}{space 2} .1871536{col 54}{space 1}   -2.11{col 63}{space 3}0.035{col 71}{space 4}-.7639331{col 84}{space 3}-.0270969
{txt}{space 21}quintall {c |}{col 31}{res}{space 2} -.005345{col 43}{space 2} .1409645{col 54}{space 1}   -0.04{col 63}{space 3}0.970{col 71}{space 4}-.2828384{col 84}{space 3} .2721484
{txt}{space 23}colorr {c |}{col 31}{res}{space 2}-.4800178{col 43}{space 2} .3299567{col 54}{space 1}   -1.45{col 63}{space 3}0.147{col 71}{space 4}-1.129549{col 84}{space 3} .1695133
{txt}{space 29} {c |}
{space 25}pais {c |}
{space 17}El Salvador  {c |}{col 31}{res}{space 2}-1.540386{col 43}{space 2} .1324721{col 54}{space 1}  -11.63{col 63}{space 3}0.000{col 71}{space 4}-1.801162{col 84}{space 3} -1.27961
{txt}{space 20}Honduras  {c |}{col 31}{res}{space 2}-1.364336{col 43}{space 2} .1383755{col 54}{space 1}   -9.86{col 63}{space 3}0.000{col 71}{space 4}-1.636732{col 84}{space 3}-1.091939
{txt}{space 24}Peru  {c |}{col 31}{res}{space 2}-.8293576{col 43}{space 2} .1372551{col 54}{space 1}   -6.04{col 63}{space 3}0.000{col 71}{space 4}-1.099549{col 84}{space 3}-.5591662
{txt}{space 29} {c |}
{space 24}_cons {c |}{col 31}{res}{space 2}-.6117433{col 43}{space 2} .3159696{col 54}{space 1}   -1.94{col 63}{space 3}0.054{col 71}{space 4} -1.23374{col 84}{space 3} .0102535
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
(results {stata estimates replay rwaleaderresults:rwaleaderresults} are active now)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}     1,765
{txt}Model VCE{col 14}: {res}Linearized

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(rwaleader), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:rightist}{space 8}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leftist}{space 9}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ing4}{space 12}{txt:=} {space 3}.6092971 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:PSA5}{space 12}{txt:=} {space 3}.4959723 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4214029 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 3}.5766498 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4928444 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3642068 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.pais}{space 10}{txt:=} {space 4}.257395 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.pais}{space 10}{txt:=} {space 4}.192235 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.pais}{space 10}{txt:=} {space 3}.2537668 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.2966033 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 8}.17}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:rightist}{space 8}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leftist}{space 9}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ing4}{space 12}{txt:=} {space 3}.6092971 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:PSA5}{space 12}{txt:=} {space 3}.4959723 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4214029 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 3}.5766498 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4928444 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3642068 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.pais}{space 10}{txt:=} {space 4}.257395 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.pais}{space 10}{txt:=} {space 4}.192235 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.pais}{space 10}{txt:=} {space 3}.2537668 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.2966033 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 8}.33}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:rightist}{space 8}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leftist}{space 9}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ing4}{space 12}{txt:=} {space 3}.6092971 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:PSA5}{space 12}{txt:=} {space 3}.4959723 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4214029 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 3}.5766498 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4928444 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3642068 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.pais}{space 10}{txt:=} {space 4}.257395 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.pais}{space 10}{txt:=} {space 4}.192235 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.pais}{space 10}{txt:=} {space 3}.2537668 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 3}.2966033 {txt:(mean)}}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:authoritar~m}{space 4}{txt:=} {space 9}.5}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:rightist}{space 8}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:leftist}{space 9}{txt:=} {space 10}0 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:ing4}{space 12}{txt:=} {space 3}.6092971 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:PSA5}{space 12}{txt:=} {space 3}.4959723 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 3}.4214029 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 3}.5766498 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.4928444 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3642068 {txt:(mean)}}{p_end}
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{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1573681{col 26}{space 2} .0271885{col 37}{space 1}    5.79{col 46}{space 3}0.000{col 54}{space 4} .1038465{col 67}{space 3} .2108897
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .1720256{col 26}{space 2} .0235875{col 37}{space 1}    7.29{col 46}{space 3}0.000{col 54}{space 4} .1255929{col 67}{space 3} .2184583
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1867897{col 26}{space 2} .0197287{col 37}{space 1}    9.47{col 46}{space 3}0.000{col 54}{space 4} .1479531{col 67}{space 3} .2256264
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2035257{col 26}{space 2} .0154236{col 37}{space 1}   13.20{col 46}{space 3}0.000{col 54}{space 4} .1731638{col 67}{space 3} .2338875
{txt}{space 10}5  {c |}{col 14}{res}{space 2}  .221353{col 26}{space 2} .0118658{col 37}{space 1}   18.65{col 46}{space 3}0.000{col 54}{space 4} .1979947{col 67}{space 3} .2447112
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .2391279{col 26}{space 2} .0113329{col 37}{space 1}   21.10{col 46}{space 3}0.000{col 54}{space 4} .2168187{col 67}{space 3} .2614371
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .2590594{col 26}{space 2} .0153146{col 37}{space 1}   16.92{col 46}{space 3}0.000{col 54}{space 4} .2289121{col 67}{space 3} .2892067
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(note: file rwaleader_rightist0_leftist0.dta not found)
file rwaleader_rightist0_leftist0.dta saved
(results {stata estimates replay rwaleaderresults:rwaleaderresults} are active now)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       545
{txt}Model VCE{col 14}: {res}Linearized

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{p2col:Expression}:{space 1}{res:Pr(rwaleader), predict()}{p_end}
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{p2colreset}{...}

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{p2colreset}{...}
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{p2colreset}{...}

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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}
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{p2colreset}{...}

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{p2colreset}{...}
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{p2colreset}{...}
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{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .2117951{col 26}{space 2} .0582115{col 37}{space 1}    3.64{col 46}{space 3}0.000{col 54}{space 4} .0972037{col 67}{space 3} .3263865
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .2308146{col 26}{space 2} .0503535{col 37}{space 1}    4.58{col 46}{space 3}0.000{col 54}{space 4}  .131692{col 67}{space 3} .3299372
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .2497789{col 26}{space 2} .0420448{col 37}{space 1}    5.94{col 46}{space 3}0.000{col 54}{space 4} .1670123{col 67}{space 3} .3325456
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .2710364{col 26}{space 2} .0327872{col 37}{space 1}    8.27{col 46}{space 3}0.000{col 54}{space 4} .2064936{col 67}{space 3} .3355793
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .2933956{col 26}{space 2} .0246935{col 37}{space 1}   11.88{col 46}{space 3}0.000{col 54}{space 4} .2447856{col 67}{space 3} .3420055
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .3153934{col 26}{space 2} .0218673{col 37}{space 1}   14.42{col 46}{space 3}0.000{col 54}{space 4}  .272347{col 67}{space 3} .3584399
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .3397065{col 26}{space 2} .0277039{col 37}{space 1}   12.26{col 46}{space 3}0.000{col 54}{space 4} .2851704{col 67}{space 3} .3942426
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(note: file rwaleader_rightist1_leftist0.dta not found)
file rwaleader_rightist1_leftist0.dta saved
(results {stata estimates replay rwaleaderresults:rwaleaderresults} are active now)
{res}
{txt}Adjusted predictions{col 49}Number of obs{col 67}= {res}       502
{txt}Model VCE{col 14}: {res}Linearized

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{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:mujer}{space 11}{txt:=} {space 4}.352968 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:edr}{space 13}{txt:=} {space 3}.5551255 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:quintall}{space 8}{txt:=} {space 3}.5039429 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:colorr}{space 10}{txt:=} {space 3}.3576324 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:2.pais}{space 10}{txt:=} {space 3}.3332703 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:3.pais}{space 10}{txt:=} {space 3}.2576241 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:4.pais}{space 10}{txt:=} {space 3}.2342717 {txt:(mean)}}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col: }{space 2}{res:{txt:11.pais}{space 9}{txt:=} {space 4}.174834 {txt:(mean)}}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .1477508{col 26}{space 2} .0464408{col 37}{space 1}    3.18{col 46}{space 3}0.002{col 54}{space 4} .0563304{col 67}{space 3} .2391712
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .1569061{col 26}{space 2} .0394659{col 37}{space 1}    3.98{col 46}{space 3}0.000{col 54}{space 4} .0792162{col 67}{space 3} .2345961
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .1659397{col 26}{space 2} .0324504{col 37}{space 1}    5.11{col 46}{space 3}0.000{col 54}{space 4}   .10206{col 67}{space 3} .2298195
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .1759894{col 26}{space 2} .0249796{col 37}{space 1}    7.05{col 46}{space 3}0.000{col 54}{space 4} .1268161{col 67}{space 3} .2251627
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .1865116{col 26}{space 2}  .018924{col 37}{space 1}    9.86{col 46}{space 3}0.000{col 54}{space 4}  .149259{col 67}{space 3} .2237642
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .1968517{col 26}{space 2} .0176701{col 37}{space 1}   11.14{col 46}{space 3}0.000{col 54}{space 4} .1620675{col 67}{space 3} .2316359
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .2083059{col 26}{space 2} .0233762{col 37}{space 1}    8.91{col 46}{space 3}0.000{col 54}{space 4} .1622891{col 67}{space 3} .2543227
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}(note: file rwaleader_rightist0_leftist1.dta not found)
file rwaleader_rightist0_leftist1.dta saved

{com}. preserve
{txt}
{com}.         clear
{txt}
{com}.         append using $results
{txt}
{com}.         egen ideology = seq(), f(0) t(2) block(7)
{txt}
{com}.                 recode ideology (0=1) (1=0)
{txt}(ideology: 28 changes made)

{com}.                 lab def ideology 0 "Rightist" 1 "Center/None" 2 "Leftist"
{txt}
{com}.                 lab val ideology ideology
{txt}
{com}.         egen leadertype = seq(), f(1) t(2) block(21)
{txt}
{com}.                 lab def leadertype 1 "Left-Wing Authoritarian Candidate" 2 "Right-Wing Authoritarian Candidate"
{txt}
{com}.                 lab val leadertype leadertype
{txt}
{com}.         egen authoritarianism = seq(), f(0) t(6) block(1)
{txt}
{com}.                 replace authoritarianism = authoritarianism/6
{txt}variable {bf}authoritarianism{sf} was {bf}{res}byte{sf}{txt} now {bf}{res}float{sf}
{txt}(36 real changes made)

{com}.         graph twoway (rcap min95 max95 authoritarianism if leadertype == 1 & ideology == 0, lcolor(gs12)) ///
>                         (rcap min95 max95 authoritarianism if leadertype == 1 & ideology == 2, lcolor(gs12)) ///
>                         (line estimate authoritarianism if leadertype == 1 & ideology == 1, lcolor(gs8) lpattern(longdash)) ///
>                         (line estimate authoritarianism if leadertype == 1 & ideology == 2, lcolor(gs8) lwidth(thick) lpattern(longdash_dot)) ///
>                         (line estimate authoritarianism if leadertype == 1 & ideology == 0, lcolor(black)) , ///
>                 graphregion(fcolor(white) lcolor(white)) legend(off) title("Left-Wing Authoritarian Candidates", color(black) size(medlarge)) ///
>                 ytitle("Predicted Probability of Reporting" "Retrospective Vote for an Authoritarian Candidate", margin(small) size(medlarge)) ///
>                 ylabel(0(.1).8, gmax) xtitle("") ///
>                 text(.32 .8 "Rightists") text(.62 .8 "Leftists") text(.48 .2 "None/Centrist") ///
>                 name(lwacands, replace)
{res}{txt}
{com}.         graph twoway (rcap min95 max95 authoritarianism if leadertype == 2 & ideology == 0, lcolor(gs12)) ///
>                         (rcap min95 max95 authoritarianism if leadertype == 2 & ideology == 2, lcolor(gs12)) ///
>                         (line estimate authoritarianism if leadertype == 2 & ideology == 1, lcolor(gs8) lpattern(longdash)) ///
>                         (line estimate authoritarianism if leadertype == 2 & ideology == 2, lcolor(gs8) lwidth(thick) lpattern(longdash_dot)) ///
>                         (line estimate authoritarianism if leadertype == 2 & ideology == 0, lcolor(black)), ///
>                 graphregion(fcolor(white) lcolor(white)) legend(off) title("Right-Wing Authoritarian Candidates", color(black) size(medlarge)) ///
>                 ytitle("") ylabel(0(.1).8, nolabel notick gmax) xtitle("") ///
>                 text(.35 .5 "Rightists") text(.1 .5 "Leftists") text(.25 .7 "None/Centrist") ///
>                 name(rwacands, replace)
{res}{txt}
{com}. restore
{txt}
{com}. graph combine lwacands rwacands, col(2) ///
>         graphregion(fcolor(white) lcolor(black)) xsize(6.5) title("Authoritarianism", color(black) ring(1) pos(6) size(medium)) ///
>         note("Coefficients and 95% confidence intervals for predicted probabilities from model controlling for support for democracy, " ///
>         "support for political system, gender, education, wealth, and skin color. Source: AmericasBarometer 2012, v.50", span margin(small))
{res}{txt}
{com}. foreach dv in lwaleader rwaleader {c -(}
{txt}  2{com}.         rm `dv'_rightist0_leftist0.dta
{txt}  3{com}.         rm `dv'_rightist1_leftist0.dta
{txt}  4{com}.         rm `dv'_rightist0_leftist1.dta
{txt}  5{com}. {c )-}
{txt}
{com}.         
. ******* Table A8. Does authoritarianism predict future support for authoritarian incumbents?
. preserve
{txt}
{com}. recode sumauthfutincumbent (1=0) if pais == 1 //remove Mexico from the measure, since in Mexico the incumbent wasn't going to run again.
{txt}(sumauthfutincumbent: 1560 changes made)

{com}. eststo clear
{txt}
{com}. svy: mlogit vb20 authoritarianism rightist ing4 mujer edr quintall colorr i.pais if sumauthfutincumbent == 1
{txt}(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}       38{txt}{col 49}Number of obs{col 67}= {res}     3,696
{txt}{col 1}Number of PSUs{col 20}= {res}      461{txt}{col 49}Population size{col 67}={res} 2,952.2909
{txt}{col 49}Design df{col 67}= {res}       423
{txt}{col 49}F({res}  33{txt},{res}    391{txt}){col 67}= {res}     25.77
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .1725916{col 46}{space 2} .2425682{col 57}{space 1}    0.71{col 66}{space 3}0.477{col 74}{space 4}-.3041976{col 87}{space 3} .6493807
{txt}{space 24}rightist {c |}{col 34}{res}{space 2} .0579414{col 46}{space 2} .1518769{col 57}{space 1}    0.38{col 66}{space 3}0.703{col 74}{space 4}-.2405859{col 87}{space 3} .3564687
{txt}{space 28}ing4 {c |}{col 34}{res}{space 2}-.7864676{col 46}{space 2} .1872982{col 57}{space 1}   -4.20{col 66}{space 3}0.000{col 74}{space 4}-1.154619{col 87}{space 3}-.4183164
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .0964793{col 46}{space 2} .1117881{col 57}{space 1}    0.86{col 66}{space 3}0.389{col 74}{space 4}  -.12325{col 87}{space 3} .3162086
{txt}{space 29}edr {c |}{col 34}{res}{space 2}-.0361066{col 46}{space 2} .2225346{col 57}{space 1}   -0.16{col 66}{space 3}0.871{col 74}{space 4} -.473518{col 87}{space 3} .4013048
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.0599947{col 46}{space 2} .1603312{col 57}{space 1}   -0.37{col 66}{space 3}0.708{col 74}{space 4}-.3751397{col 87}{space 3} .2551503
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} -.289382{col 46}{space 2} .3584639{col 57}{space 1}   -0.81{col 66}{space 3}0.420{col 74}{space 4}-.9939743{col 87}{space 3} .4152103
{txt}{space 32} {c |}
{space 28}pais {c |}
{space 22}Nicaragua  {c |}{col 34}{res}{space 2}-1.979423{col 46}{space 2} .1639098{col 57}{space 1}  -12.08{col 66}{space 3}0.000{col 74}{space 4}-2.301603{col 87}{space 3}-1.657244
{txt}{space 24}Ecuador  {c |}{col 34}{res}{space 2}-2.825258{col 46}{space 2} .2007934{col 57}{space 1}  -14.07{col 66}{space 3}0.000{col 74}{space 4}-3.219936{col 87}{space 3}-2.430581
{txt}{space 24}Bolivia  {c |}{col 34}{res}{space 2} -2.19431{col 46}{space 2} .1999097{col 57}{space 1}  -10.98{col 66}{space 3}0.000{col 74}{space 4} -2.58725{col 87}{space 3} -1.80137
{txt}{space 22}Venezuela  {c |}{col 34}{res}{space 2}-2.941498{col 46}{space 2} .2202508{col 57}{space 1}  -13.36{col 66}{space 3}0.000{col 74}{space 4}-3.374421{col 87}{space 3}-2.508576
{txt}{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2}  1.68487{col 46}{space 2}  .314514{col 57}{space 1}    5.36{col 66}{space 3}0.000{col 74}{space 4} 1.066666{col 87}{space 3} 2.303075
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .0589363{col 46}{space 2} .2063501{col 57}{space 1}    0.29{col 66}{space 3}0.775{col 74}{space 4}-.3466631{col 87}{space 3} .4645356
{txt}{space 24}rightist {c |}{col 34}{res}{space 2} .7430765{col 46}{space 2} .1254676{col 57}{space 1}    5.92{col 66}{space 3}0.000{col 74}{space 4}  .496459{col 87}{space 3} .9896941
{txt}{space 28}ing4 {c |}{col 34}{res}{space 2}-.3350028{col 46}{space 2} .1685976{col 57}{space 1}   -1.99{col 66}{space 3}0.048{col 74}{space 4}-.6663961{col 87}{space 3}-.0036094
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .0986998{col 46}{space 2} .1038509{col 57}{space 1}    0.95{col 66}{space 3}0.342{col 74}{space 4}-.1054283{col 87}{space 3} .3028279
{txt}{space 29}edr {c |}{col 34}{res}{space 2} .4849698{col 46}{space 2} .2012108{col 57}{space 1}    2.41{col 66}{space 3}0.016{col 74}{space 4} .0894723{col 87}{space 3} .8804672
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .3594466{col 46}{space 2} .1489934{col 57}{space 1}    2.41{col 66}{space 3}0.016{col 74}{space 4} .0665868{col 87}{space 3} .6523063
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.5992303{col 46}{space 2} .3390039{col 57}{space 1}   -1.77{col 66}{space 3}0.078{col 74}{space 4}-1.265572{col 87}{space 3} .0671116
{txt}{space 32} {c |}
{space 28}pais {c |}
{space 22}Nicaragua  {c |}{col 34}{res}{space 2}-1.653224{col 46}{space 2} .1717705{col 57}{space 1}   -9.62{col 66}{space 3}0.000{col 74}{space 4}-1.990854{col 87}{space 3}-1.315594
{txt}{space 24}Ecuador  {c |}{col 34}{res}{space 2}-1.472574{col 46}{space 2} .1768431{col 57}{space 1}   -8.33{col 66}{space 3}0.000{col 74}{space 4}-1.820174{col 87}{space 3}-1.124973
{txt}{space 24}Bolivia  {c |}{col 34}{res}{space 2}-.1746436{col 46}{space 2}   .19476{col 57}{space 1}   -0.90{col 66}{space 3}0.370{col 74}{space 4}-.5574614{col 87}{space 3} .2081743
{txt}{space 22}Venezuela  {c |}{col 34}{res}{space 2}-1.239491{col 46}{space 2} .1709437{col 57}{space 1}   -7.25{col 66}{space 3}0.000{col 74}{space 4}-1.575496{col 87}{space 3}-.9034859
{txt}{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} .4075339{col 46}{space 2} .2870007{col 57}{space 1}    1.42{col 66}{space 3}0.156{col 74}{space 4}-.1565913{col 87}{space 3} .9716591
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .0672181{col 46}{space 2} .2756824{col 57}{space 1}    0.24{col 66}{space 3}0.807{col 74}{space 4}-.4746599{col 87}{space 3} .6090961
{txt}{space 24}rightist {c |}{col 34}{res}{space 2} .1543189{col 46}{space 2} .1973179{col 57}{space 1}    0.78{col 66}{space 3}0.435{col 74}{space 4}-.2335269{col 87}{space 3} .5421646
{txt}{space 28}ing4 {c |}{col 34}{res}{space 2}-.7768715{col 46}{space 2} .2253948{col 57}{space 1}   -3.45{col 66}{space 3}0.001{col 74}{space 4}-1.219905{col 87}{space 3}-.3338381
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .2589452{col 46}{space 2} .1325886{col 57}{space 1}    1.95{col 66}{space 3}0.051{col 74}{space 4}-.0016694{col 87}{space 3} .5195597
{txt}{space 29}edr {c |}{col 34}{res}{space 2} .3428477{col 46}{space 2} .2553924{col 57}{space 1}    1.34{col 66}{space 3}0.180{col 74}{space 4}-.1591485{col 87}{space 3} .8448439
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .1531159{col 46}{space 2} .2069971{col 57}{space 1}    0.74{col 66}{space 3}0.460{col 74}{space 4}-.2537551{col 87}{space 3} .5599869
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-1.158324{col 46}{space 2} .4397502{col 57}{space 1}   -2.63{col 66}{space 3}0.009{col 74}{space 4}-2.022692{col 87}{space 3}-.2939563
{txt}{space 32} {c |}
{space 28}pais {c |}
{space 22}Nicaragua  {c |}{col 34}{res}{space 2}-1.479602{col 46}{space 2} .2780207{col 57}{space 1}   -5.32{col 66}{space 3}0.000{col 74}{space 4}-2.026076{col 87}{space 3}-.9331276
{txt}{space 24}Ecuador  {c |}{col 34}{res}{space 2} .4187363{col 46}{space 2} .2365435{col 57}{space 1}    1.77{col 66}{space 3}0.077{col 74}{space 4}-.0462107{col 87}{space 3} .8836833
{txt}{space 24}Bolivia  {c |}{col 34}{res}{space 2} .9545838{col 46}{space 2} .2421026{col 57}{space 1}    3.94{col 66}{space 3}0.000{col 74}{space 4} .4787099{col 87}{space 3} 1.430458
{txt}{space 22}Venezuela  {c |}{col 34}{res}{space 2}-2.871046{col 46}{space 2} .4966043{col 57}{space 1}   -5.78{col 66}{space 3}0.000{col 74}{space 4}-3.847165{col 87}{space 3}-1.894927
{txt}{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2}-.6778811{col 46}{space 2} .3721391{col 57}{space 1}   -1.82{col 66}{space 3}0.069{col 74}{space 4}-1.409353{col 87}{space 3}  .053591
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo
{txt}({res}est1{txt} stored)

{com}. svy: mlogit vb20 authoritarianism rightist PSA5 mujer edr quintall colorr i.pais if sumauthfutincumbent == 1
{txt}(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}       38{txt}{col 49}Number of obs{col 67}= {res}     3,809
{txt}{col 1}Number of PSUs{col 20}= {res}      461{txt}{col 49}Population size{col 67}={res} 3,053.9611
{txt}{col 49}Design df{col 67}= {res}       423
{txt}{col 49}F({res}  33{txt},{res}    391{txt}){col 67}= {res}     29.17
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .1062068{col 46}{space 2} .2393587{col 57}{space 1}    0.44{col 66}{space 3}0.657{col 74}{space 4}-.3642738{col 87}{space 3} .5766874
{txt}{space 24}rightist {c |}{col 34}{res}{space 2}-.0223047{col 46}{space 2} .1465098{col 57}{space 1}   -0.15{col 66}{space 3}0.879{col 74}{space 4}-.3102826{col 87}{space 3} .2656733
{txt}{space 28}PSA5 {c |}{col 34}{res}{space 2} -3.32936{col 46}{space 2} .2829824{col 57}{space 1}  -11.77{col 66}{space 3}0.000{col 74}{space 4}-3.885587{col 87}{space 3}-2.773133
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .1267738{col 46}{space 2} .1157011{col 57}{space 1}    1.10{col 66}{space 3}0.274{col 74}{space 4}-.1006469{col 87}{space 3} .3541945
{txt}{space 29}edr {c |}{col 34}{res}{space 2}-.2196115{col 46}{space 2} .2155699{col 57}{space 1}   -1.02{col 66}{space 3}0.309{col 74}{space 4} -.643333{col 87}{space 3} .2041101
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} -.121918{col 46}{space 2} .1613441{col 57}{space 1}   -0.76{col 66}{space 3}0.450{col 74}{space 4} -.439054{col 87}{space 3} .1952179
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.2561101{col 46}{space 2} .3697358{col 57}{space 1}   -0.69{col 66}{space 3}0.489{col 74}{space 4}-.9828583{col 87}{space 3}  .470638
{txt}{space 32} {c |}
{space 28}pais {c |}
{space 22}Nicaragua  {c |}{col 34}{res}{space 2}-1.557436{col 46}{space 2} .1814307{col 57}{space 1}   -8.58{col 66}{space 3}0.000{col 74}{space 4}-1.914054{col 87}{space 3}-1.200818
{txt}{space 24}Ecuador  {c |}{col 34}{res}{space 2}-2.542781{col 46}{space 2} .2010559{col 57}{space 1}  -12.65{col 66}{space 3}0.000{col 74}{space 4}-2.937974{col 87}{space 3}-2.147587
{txt}{space 24}Bolivia  {c |}{col 34}{res}{space 2}-2.031249{col 46}{space 2}  .212028{col 57}{space 1}   -9.58{col 66}{space 3}0.000{col 74}{space 4}-2.448008{col 87}{space 3}-1.614489
{txt}{space 22}Venezuela  {c |}{col 34}{res}{space 2}-2.623392{col 46}{space 2}  .214234{col 57}{space 1}  -12.25{col 66}{space 3}0.000{col 74}{space 4}-3.044488{col 87}{space 3}-2.202296
{txt}{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} 2.892925{col 46}{space 2}  .338733{col 57}{space 1}    8.54{col 66}{space 3}0.000{col 74}{space 4} 2.227116{col 87}{space 3} 3.558734
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .0292976{col 46}{space 2} .2059421{col 57}{space 1}    0.14{col 66}{space 3}0.887{col 74}{space 4}-.3754998{col 87}{space 3} .4340949
{txt}{space 24}rightist {c |}{col 34}{res}{space 2} .6123375{col 46}{space 2} .1242602{col 57}{space 1}    4.93{col 66}{space 3}0.000{col 74}{space 4} .3680931{col 87}{space 3} .8565818
{txt}{space 28}PSA5 {c |}{col 34}{res}{space 2}-3.559348{col 46}{space 2} .2381441{col 57}{space 1}  -14.95{col 66}{space 3}0.000{col 74}{space 4}-4.027442{col 87}{space 3}-3.091255
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .1261579{col 46}{space 2}  .107481{col 57}{space 1}    1.17{col 66}{space 3}0.241{col 74}{space 4}-.0851055{col 87}{space 3} .3374212
{txt}{space 29}edr {c |}{col 34}{res}{space 2} .3449373{col 46}{space 2} .2003454{col 57}{space 1}    1.72{col 66}{space 3}0.086{col 74}{space 4}-.0488592{col 87}{space 3} .7387339
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .2937407{col 46}{space 2} .1519834{col 57}{space 1}    1.93{col 66}{space 3}0.054{col 74}{space 4}-.0049961{col 87}{space 3} .5924776
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.3371244{col 46}{space 2} .3264017{col 57}{space 1}   -1.03{col 66}{space 3}0.302{col 74}{space 4}-.9786958{col 87}{space 3} .3044469
{txt}{space 32} {c |}
{space 28}pais {c |}
{space 22}Nicaragua  {c |}{col 34}{res}{space 2}-1.189407{col 46}{space 2} .1764074{col 57}{space 1}   -6.74{col 66}{space 3}0.000{col 74}{space 4}-1.536151{col 87}{space 3} -.842663
{txt}{space 24}Ecuador  {c |}{col 34}{res}{space 2}-1.173395{col 46}{space 2} .1840501{col 57}{space 1}   -6.38{col 66}{space 3}0.000{col 74}{space 4}-1.535161{col 87}{space 3}-.8116279
{txt}{space 24}Bolivia  {c |}{col 34}{res}{space 2} .0443562{col 46}{space 2}  .204257{col 57}{space 1}    0.22{col 66}{space 3}0.828{col 74}{space 4}-.3571288{col 87}{space 3} .4458413
{txt}{space 22}Venezuela  {c |}{col 34}{res}{space 2}-.8484184{col 46}{space 2} .1628373{col 57}{space 1}   -5.21{col 66}{space 3}0.000{col 74}{space 4}-1.168489{col 87}{space 3}-.5283475
{txt}{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} 1.861206{col 46}{space 2}   .32084{col 57}{space 1}    5.80{col 66}{space 3}0.000{col 74}{space 4} 1.230567{col 87}{space 3} 2.491845
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.0142643{col 46}{space 2} .2673066{col 57}{space 1}   -0.05{col 66}{space 3}0.957{col 74}{space 4}-.5396789{col 87}{space 3} .5111503
{txt}{space 24}rightist {c |}{col 34}{res}{space 2} .0801221{col 46}{space 2} .2012164{col 57}{space 1}    0.40{col 66}{space 3}0.691{col 74}{space 4}-.3153865{col 87}{space 3} .4756306
{txt}{space 28}PSA5 {c |}{col 34}{res}{space 2}-3.879018{col 46}{space 2} .3492926{col 57}{space 1}  -11.11{col 66}{space 3}0.000{col 74}{space 4}-4.565583{col 87}{space 3}-3.192452
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .2583961{col 46}{space 2} .1364652{col 57}{space 1}    1.89{col 66}{space 3}0.059{col 74}{space 4}-.0098382{col 87}{space 3} .5266305
{txt}{space 29}edr {c |}{col 34}{res}{space 2} .1150331{col 46}{space 2} .2616429{col 57}{space 1}    0.44{col 66}{space 3}0.660{col 74}{space 4} -.399249{col 87}{space 3} .6293153
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}  .144553{col 46}{space 2} .2102074{col 57}{space 1}    0.69{col 66}{space 3}0.492{col 74}{space 4}-.2686281{col 87}{space 3} .5577341
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} -.818691{col 46}{space 2} .4499249{col 57}{space 1}   -1.82{col 66}{space 3}0.070{col 74}{space 4}-1.703058{col 87}{space 3} .0656759
{txt}{space 32} {c |}
{space 28}pais {c |}
{space 22}Nicaragua  {c |}{col 34}{res}{space 2}-1.077433{col 46}{space 2} .2788555{col 57}{space 1}   -3.86{col 66}{space 3}0.000{col 74}{space 4}-1.625548{col 87}{space 3}-.5293179
{txt}{space 24}Ecuador  {c |}{col 34}{res}{space 2} .7772424{col 46}{space 2} .2411245{col 57}{space 1}    3.22{col 66}{space 3}0.001{col 74}{space 4} .3032909{col 87}{space 3} 1.251194
{txt}{space 24}Bolivia  {c |}{col 34}{res}{space 2} 1.238955{col 46}{space 2}  .250966{col 57}{space 1}    4.94{col 66}{space 3}0.000{col 74}{space 4} .7456588{col 87}{space 3} 1.732251
{txt}{space 22}Venezuela  {c |}{col 34}{res}{space 2} -2.48471{col 46}{space 2} .4950061{col 57}{space 1}   -5.02{col 66}{space 3}0.000{col 74}{space 4}-3.457689{col 87}{space 3}-1.511732
{txt}{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} .6337504{col 46}{space 2}    .3919{col 57}{space 1}    1.62{col 66}{space 3}0.107{col 74}{space 4}-.1365635{col 87}{space 3} 1.404064
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo
{txt}({res}est2{txt} stored)

{com}. esttab, b(3) se(3) nogaps nopar star(* .05) unstack ///
>         keep(authoritarianism rightist ing4 PSA5 mujer edr quintall colorr _cons)
{res}
{txt}{hline 124}
{txt}                      (1)                                                     (2)                                           
{txt}                     vb20                                                    vb20                                           
{txt}             Wouldn_t_v~e  Would_vote~n  Would_vote~a  Would_go_t~e  Wouldn_t_v~e  Would_vote~n  Would_vote~a  Would_go_t~e 
{txt}{hline 124}
{txt}authoritar~m{res}        0.173         0.000         0.059         0.067         0.106         0.000         0.029        -0.014 {txt}
            {res}        0.243             .         0.206         0.276         0.239             .         0.206         0.267 {txt}
{txt}rightist    {res}        0.058         0.000         0.743*        0.154        -0.022         0.000         0.612*        0.080 {txt}
            {res}        0.152             .         0.125         0.197         0.147             .         0.124         0.201 {txt}
{txt}ing4        {res}       -0.786*        0.000        -0.335*       -0.777*                                                        {txt}
            {res}        0.187             .         0.169         0.225                                                         {txt}
{txt}mujer       {res}        0.096         0.000         0.099         0.259         0.127         0.000         0.126         0.258 {txt}
            {res}        0.112             .         0.104         0.133         0.116             .         0.107         0.136 {txt}
{txt}edr         {res}       -0.036         0.000         0.485*        0.343        -0.220         0.000         0.345         0.115 {txt}
            {res}        0.223             .         0.201         0.255         0.216             .         0.200         0.262 {txt}
{txt}quintall    {res}       -0.060         0.000         0.359*        0.153        -0.122         0.000         0.294         0.145 {txt}
            {res}        0.160             .         0.149         0.207         0.161             .         0.152         0.210 {txt}
{txt}colorr      {res}       -0.289         0.000        -0.599        -1.158*       -0.256         0.000        -0.337        -0.819 {txt}
            {res}        0.358             .         0.339         0.440         0.370             .         0.326         0.450 {txt}
{txt}PSA5        {res}                                                               -3.329*        0.000        -3.559*       -3.879*{txt}
            {res}                                                                0.283             .         0.238         0.349 {txt}
{txt}_cons       {res}        1.685*        0.000         0.408        -0.678         2.893*        0.000         1.861*        0.634 {txt}
            {res}        0.315             .         0.287         0.372         0.339             .         0.321         0.392 {txt}
{txt}{hline 124}
{txt}N           {res}         3696                                                    3809                                           {txt}
{txt}{hline 124}
{txt}Standard errors in second row
{txt}* p<.05

{com}. restore
{txt}
{com}. 
. ******* Tables A9-A12. Full models from prospective vote choice analysis with groups of countries
. eststo clear
{txt}
{com}. foreach countrytype in future_lw_nonauth future_rw_nonauth future_lw_auth future_rw_auth {c -(}
{txt}  2{com}.         svy: mlogit vb20 authoritarianism mujer edr quintall colorr i.pais if `countrytype' == 1, baseoutcome(2)
{txt}  3{com}.         eststo
{txt}  4{com}. {c )-}
{txt}(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}       32{txt}{col 49}Number of obs{col 67}= {res}     3,718
{txt}{col 1}Number of PSUs{col 20}= {res}      486{txt}{col 49}Population size{col 67}={res} 3,705.4928
{txt}{col 49}Design df{col 67}= {res}       454
{txt}{col 49}F({res}  30{txt},{res}    425{txt}){col 67}= {res}     17.97
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .1919091{col 46}{space 2} .2553905{col 57}{space 1}    0.75{col 66}{space 3}0.453{col 74}{space 4} -.309985{col 87}{space 3} .6938032
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .1530243{col 46}{space 2}   .11913{col 57}{space 1}    1.28{col 66}{space 3}0.200{col 74}{space 4}-.0810902{col 87}{space 3} .3871389
{txt}{space 29}edr {c |}{col 34}{res}{space 2}-.1254021{col 46}{space 2} .2382823{col 57}{space 1}   -0.53{col 66}{space 3}0.599{col 74}{space 4}-.5936751{col 87}{space 3}  .342871
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.0581998{col 46}{space 2} .1733298{col 57}{space 1}   -0.34{col 66}{space 3}0.737{col 74}{space 4} -.398828{col 87}{space 3} .2824283
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.4465736{col 46}{space 2} .3338803{col 57}{space 1}   -1.34{col 66}{space 3}0.182{col 74}{space 4}-1.102716{col 87}{space 3} .2095691
{txt}{space 32} {c |}
{space 28}pais {c |}
{space 27}Peru  {c |}{col 34}{res}{space 2}-.8517467{col 46}{space 2} .2062803{col 57}{space 1}   -4.13{col 66}{space 3}0.000{col 74}{space 4}-1.257129{col 87}{space 3} -.446364
{txt}{space 23}Paraguay  {c |}{col 34}{res}{space 2} .6807025{col 46}{space 2} .1853046{col 57}{space 1}    3.67{col 66}{space 3}0.000{col 74}{space 4} .3165413{col 87}{space 3} 1.044864
{txt}{space 24}Uruguay  {c |}{col 34}{res}{space 2}-1.865269{col 46}{space 2} .2233863{col 57}{space 1}   -8.35{col 66}{space 3}0.000{col 74}{space 4}-2.304269{col 87}{space 3} -1.42627
{txt}{space 25}Brazil  {c |}{col 34}{res}{space 2}-1.536306{col 46}{space 2}   .20577{col 57}{space 1}   -7.47{col 66}{space 3}0.000{col 74}{space 4}-1.940686{col 87}{space 3}-1.131926
{txt}{space 22}Argentina  {c |}{col 34}{res}{space 2}-1.357123{col 46}{space 2}  .215659{col 57}{space 1}   -6.29{col 66}{space 3}0.000{col 74}{space 4}-1.780937{col 87}{space 3}-.9333092
{txt}{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2}-.4061338{col 46}{space 2} .3457574{col 57}{space 1}   -1.17{col 66}{space 3}0.241{col 74}{space 4}-1.085617{col 87}{space 3} .2733497
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .3275957{col 46}{space 2} .1799512{col 57}{space 1}    1.82{col 66}{space 3}0.069{col 74}{space 4}-.0260449{col 87}{space 3} .6812363
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .0927298{col 46}{space 2} .0800177{col 57}{space 1}    1.16{col 66}{space 3}0.247{col 74}{space 4}-.0645212{col 87}{space 3} .2499809
{txt}{space 29}edr {c |}{col 34}{res}{space 2} .6232056{col 46}{space 2} .1776033{col 57}{space 1}    3.51{col 66}{space 3}0.000{col 74}{space 4} .2741792{col 87}{space 3} .9722321
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .4989802{col 46}{space 2} .1292993{col 57}{space 1}    3.86{col 66}{space 3}0.000{col 74}{space 4} .2448808{col 87}{space 3} .7530797
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.6902746{col 46}{space 2} .2437572{col 57}{space 1}   -2.83{col 66}{space 3}0.005{col 74}{space 4}-1.169307{col 87}{space 3}-.2112423
{txt}{space 32} {c |}
{space 28}pais {c |}
{space 27}Peru  {c |}{col 34}{res}{space 2} .3545475{col 46}{space 2} .1691038{col 57}{space 1}    2.10{col 66}{space 3}0.037{col 74}{space 4} .0222241{col 87}{space 3} .6868708
{txt}{space 23}Paraguay  {c |}{col 34}{res}{space 2} .8145666{col 46}{space 2} .1571145{col 57}{space 1}    5.18{col 66}{space 3}0.000{col 74}{space 4} .5058047{col 87}{space 3} 1.123329
{txt}{space 24}Uruguay  {c |}{col 34}{res}{space 2}-.7382508{col 46}{space 2} .1505715{col 57}{space 1}   -4.90{col 66}{space 3}0.000{col 74}{space 4}-1.034154{col 87}{space 3}-.4423474
{txt}{space 25}Brazil  {c |}{col 34}{res}{space 2}-1.421762{col 46}{space 2}  .163897{col 57}{space 1}   -8.67{col 66}{space 3}0.000{col 74}{space 4}-1.743853{col 87}{space 3}-1.099672
{txt}{space 22}Argentina  {c |}{col 34}{res}{space 2}-.8460709{col 46}{space 2} .1547137{col 57}{space 1}   -5.47{col 66}{space 3}0.000{col 74}{space 4}-1.150115{col 87}{space 3}-.5420272
{txt}{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2}-.5131254{col 46}{space 2} .2513625{col 57}{space 1}   -2.04{col 66}{space 3}0.042{col 74}{space 4}-1.007104{col 87}{space 3}-.0191469
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .3329583{col 46}{space 2} .2170055{col 57}{space 1}    1.53{col 66}{space 3}0.126{col 74}{space 4}-.0935015{col 87}{space 3} .7594182
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .2008183{col 46}{space 2} .1012327{col 57}{space 1}    1.98{col 66}{space 3}0.048{col 74}{space 4} .0018755{col 87}{space 3} .3997611
{txt}{space 29}edr {c |}{col 34}{res}{space 2} .3424479{col 46}{space 2} .2447075{col 57}{space 1}    1.40{col 66}{space 3}0.162{col 74}{space 4}-.1384519{col 87}{space 3} .8233478
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.2335254{col 46}{space 2} .1808696{col 57}{space 1}   -1.29{col 66}{space 3}0.197{col 74}{space 4}-.5889708{col 87}{space 3}   .12192
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.4124175{col 46}{space 2} .3857215{col 57}{space 1}   -1.07{col 66}{space 3}0.286{col 74}{space 4}-1.170439{col 87}{space 3} .3456035
{txt}{space 32} {c |}
{space 28}pais {c |}
{space 27}Peru  {c |}{col 34}{res}{space 2} .9796576{col 46}{space 2} .1952884{col 57}{space 1}    5.02{col 66}{space 3}0.000{col 74}{space 4} .5958763{col 87}{space 3} 1.363439
{txt}{space 23}Paraguay  {c |}{col 34}{res}{space 2}   .60436{col 46}{space 2} .2193634{col 57}{space 1}    2.76{col 66}{space 3}0.006{col 74}{space 4} .1732663{col 87}{space 3} 1.035454
{txt}{space 24}Uruguay  {c |}{col 34}{res}{space 2} .3727976{col 46}{space 2} .1753174{col 57}{space 1}    2.13{col 66}{space 3}0.034{col 74}{space 4} .0282633{col 87}{space 3} .7173318
{txt}{space 25}Brazil  {c |}{col 34}{res}{space 2}-.2740565{col 46}{space 2}   .19834{col 57}{space 1}   -1.38{col 66}{space 3}0.168{col 74}{space 4}-.6638349{col 87}{space 3} .1157219
{txt}{space 22}Argentina  {c |}{col 34}{res}{space 2}-.8081914{col 46}{space 2} .2241563{col 57}{space 1}   -3.61{col 66}{space 3}0.000{col 74}{space 4}-1.248704{col 87}{space 3}-.3676788
{txt}{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2}-1.574374{col 46}{space 2} .3314129{col 57}{space 1}   -4.75{col 66}{space 3}0.000{col 74}{space 4}-2.225668{col 87}{space 3}-.9230806
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est1{txt} stored)
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}       32{txt}{col 49}Number of obs{col 67}= {res}     3,843
{txt}{col 1}Number of PSUs{col 20}= {res}      414{txt}{col 49}Population size{col 67}={res} 3,760.2369
{txt}{col 49}Design df{col 67}= {res}       382
{txt}{col 49}F({res}  30{txt},{res}    353{txt}){col 67}= {res}     13.36
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.6557974{col 46}{space 2}  .192711{col 57}{space 1}   -3.40{col 66}{space 3}0.001{col 74}{space 4}-1.034705{col 87}{space 3}-.2768902
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.0068865{col 46}{space 2} .0913731{col 57}{space 1}   -0.08{col 66}{space 3}0.940{col 74}{space 4}-.1865438{col 87}{space 3} .1727707
{txt}{space 29}edr {c |}{col 34}{res}{space 2} .3367513{col 46}{space 2} .1994903{col 57}{space 1}    1.69{col 66}{space 3}0.092{col 74}{space 4}-.0554853{col 87}{space 3} .7289878
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.4372937{col 46}{space 2} .1537313{col 57}{space 1}   -2.84{col 66}{space 3}0.005{col 74}{space 4}-.7395592{col 87}{space 3}-.1350283
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} .0665657{col 46}{space 2} .3208351{col 57}{space 1}    0.21{col 66}{space 3}0.836{col 74}{space 4}-.5642582{col 87}{space 3} .6973897
{txt}{space 32} {c |}
{space 28}pais {c |}
{space 21}Costa Rica  {c |}{col 34}{res}{space 2} .8068613{col 46}{space 2} .1675685{col 57}{space 1}    4.82{col 66}{space 3}0.000{col 74}{space 4} .4773892{col 87}{space 3} 1.136333
{txt}{space 25}Panama  {c |}{col 34}{res}{space 2} 1.385014{col 46}{space 2} .1973206{col 57}{space 1}    7.02{col 66}{space 3}0.000{col 74}{space 4}  .997044{col 87}{space 3} 1.772985
{txt}{space 23}Colombia  {c |}{col 34}{res}{space 2} .0077757{col 46}{space 2} .1789226{col 57}{space 1}    0.04{col 66}{space 3}0.965{col 74}{space 4}-.3440208{col 87}{space 3} .3595722
{txt}{space 26}Chile  {c |}{col 34}{res}{space 2} .8792945{col 46}{space 2} .1948993{col 57}{space 1}    4.51{col 66}{space 3}0.000{col 74}{space 4} .4960847{col 87}{space 3} 1.262504
{txt}{space 22}Dom. Rep.  {c |}{col 34}{res}{space 2}-.4948132{col 46}{space 2} .1782188{col 57}{space 1}   -2.78{col 66}{space 3}0.006{col 74}{space 4}-.8452258{col 87}{space 3}-.1444005
{txt}{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} .0553724{col 46}{space 2} .2585101{col 57}{space 1}    0.21{col 66}{space 3}0.831{col 74}{space 4}-.4529085{col 87}{space 3} .5636533
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.4438078{col 46}{space 2} .1880992{col 57}{space 1}   -2.36{col 66}{space 3}0.019{col 74}{space 4}-.8136471{col 87}{space 3}-.0739685
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.1821554{col 46}{space 2} .0804331{col 57}{space 1}   -2.26{col 66}{space 3}0.024{col 74}{space 4}-.3403025{col 87}{space 3}-.0240083
{txt}{space 29}edr {c |}{col 34}{res}{space 2} .5340984{col 46}{space 2} .1962509{col 57}{space 1}    2.72{col 66}{space 3}0.007{col 74}{space 4} .1482311{col 87}{space 3} .9199657
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.0181619{col 46}{space 2} .1467606{col 57}{space 1}   -0.12{col 66}{space 3}0.902{col 74}{space 4}-.3067216{col 87}{space 3} .2703977
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} .0855184{col 46}{space 2} .2708464{col 57}{space 1}    0.32{col 66}{space 3}0.752{col 74}{space 4}-.4470181{col 87}{space 3} .6180548
{txt}{space 32} {c |}
{space 28}pais {c |}
{space 21}Costa Rica  {c |}{col 34}{res}{space 2} .1942962{col 46}{space 2} .1434598{col 57}{space 1}    1.35{col 66}{space 3}0.176{col 74}{space 4}-.0877736{col 87}{space 3}  .476366
{txt}{space 25}Panama  {c |}{col 34}{res}{space 2} .7538604{col 46}{space 2} .1843535{col 57}{space 1}    4.09{col 66}{space 3}0.000{col 74}{space 4} .3913858{col 87}{space 3} 1.116335
{txt}{space 23}Colombia  {c |}{col 34}{res}{space 2}-.3360254{col 46}{space 2} .1694575{col 57}{space 1}   -1.98{col 66}{space 3}0.048{col 74}{space 4}-.6692115{col 87}{space 3}-.0028392
{txt}{space 26}Chile  {c |}{col 34}{res}{space 2} .9761461{col 46}{space 2} .1901582{col 57}{space 1}    5.13{col 66}{space 3}0.000{col 74}{space 4} .6022584{col 87}{space 3} 1.350034
{txt}{space 22}Dom. Rep.  {c |}{col 34}{res}{space 2} .1293755{col 46}{space 2} .1521211{col 57}{space 1}    0.85{col 66}{space 3}0.396{col 74}{space 4} -.169724{col 87}{space 3} .4284749
{txt}{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} .0763867{col 46}{space 2} .2432399{col 57}{space 1}    0.31{col 66}{space 3}0.754{col 74}{space 4}-.4018701{col 87}{space 3} .5546434
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.3632817{col 46}{space 2} .2809435{col 57}{space 1}   -1.29{col 66}{space 3}0.197{col 74}{space 4}-.9156709{col 87}{space 3} .1891075
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.0108988{col 46}{space 2} .1234251{col 57}{space 1}   -0.09{col 66}{space 3}0.930{col 74}{space 4}-.2535764{col 87}{space 3} .2317787
{txt}{space 29}edr {c |}{col 34}{res}{space 2} .5607043{col 46}{space 2}  .323823{col 57}{space 1}    1.73{col 66}{space 3}0.084{col 74}{space 4}-.0759944{col 87}{space 3} 1.197403
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.2156849{col 46}{space 2} .2221033{col 57}{space 1}   -0.97{col 66}{space 3}0.332{col 74}{space 4}-.6523829{col 87}{space 3} .2210131
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} .2596053{col 46}{space 2} .4595001{col 57}{space 1}    0.56{col 66}{space 3}0.572{col 74}{space 4}-.6438608{col 87}{space 3} 1.163071
{txt}{space 32} {c |}
{space 28}pais {c |}
{space 21}Costa Rica  {c |}{col 34}{res}{space 2}  .645722{col 46}{space 2} .2661755{col 57}{space 1}    2.43{col 66}{space 3}0.016{col 74}{space 4} .1223694{col 87}{space 3} 1.169075
{txt}{space 25}Panama  {c |}{col 34}{res}{space 2} 1.225859{col 46}{space 2} .2928198{col 57}{space 1}    4.19{col 66}{space 3}0.000{col 74}{space 4} .6501182{col 87}{space 3} 1.801599
{txt}{space 23}Colombia  {c |}{col 34}{res}{space 2} 1.604678{col 46}{space 2} .2432315{col 57}{space 1}    6.60{col 66}{space 3}0.000{col 74}{space 4} 1.126438{col 87}{space 3} 2.082919
{txt}{space 26}Chile  {c |}{col 34}{res}{space 2}  1.44289{col 46}{space 2} .2837367{col 57}{space 1}    5.09{col 66}{space 3}0.000{col 74}{space 4} .8850083{col 87}{space 3} 2.000771
{txt}{space 22}Dom. Rep.  {c |}{col 34}{res}{space 2}-.5009444{col 46}{space 2}  .288415{col 57}{space 1}   -1.74{col 66}{space 3}0.083{col 74}{space 4}-1.068024{col 87}{space 3} .0661352
{txt}{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2}-2.069154{col 46}{space 2} .4197464{col 57}{space 1}   -4.93{col 66}{space 3}0.000{col 74}{space 4}-2.894456{col 87}{space 3}-1.243851
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est2{txt} stored)
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}       29{txt}{col 49}Number of obs{col 67}= {res}     3,137
{txt}{col 1}Number of PSUs{col 20}= {res}      393{txt}{col 49}Population size{col 67}={res} 2,449.3844
{txt}{col 49}Design df{col 67}= {res}       364
{txt}{col 49}F({res}  24{txt},{res}    341{txt}){col 67}= {res}     14.57
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}  .117056{col 46}{space 2} .2789898{col 57}{space 1}    0.42{col 66}{space 3}0.675{col 74}{space 4}-.4315782{col 87}{space 3} .6656903
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .1364644{col 46}{space 2} .1326331{col 57}{space 1}    1.03{col 66}{space 3}0.304{col 74}{space 4}-.1243588{col 87}{space 3} .3972877
{txt}{space 29}edr {c |}{col 34}{res}{space 2} .0169292{col 46}{space 2} .2762418{col 57}{space 1}    0.06{col 66}{space 3}0.951{col 74}{space 4} -.526301{col 87}{space 3} .5601594
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.1262458{col 46}{space 2} .1877807{col 57}{space 1}   -0.67{col 66}{space 3}0.502{col 74}{space 4}-.4955171{col 87}{space 3} .2430254
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.0513498{col 46}{space 2} .5196565{col 57}{space 1}   -0.10{col 66}{space 3}0.921{col 74}{space 4}-1.073256{col 87}{space 3}  .970556
{txt}{space 32} {c |}
{space 28}pais {c |}
{space 24}Ecuador  {c |}{col 34}{res}{space 2}-.8497453{col 46}{space 2} .2064302{col 57}{space 1}   -4.12{col 66}{space 3}0.000{col 74}{space 4}-1.255691{col 87}{space 3}-.4437999
{txt}{space 24}Bolivia  {c |}{col 34}{res}{space 2}-.1952721{col 46}{space 2} .2093546{col 57}{space 1}   -0.93{col 66}{space 3}0.352{col 74}{space 4}-.6069684{col 87}{space 3} .2164242
{txt}{space 22}Venezuela  {c |}{col 34}{res}{space 2}-1.052758{col 46}{space 2} .2319743{col 57}{space 1}   -4.54{col 66}{space 3}0.000{col 74}{space 4}-1.508936{col 87}{space 3}-.5965794
{txt}{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2}-.8936251{col 46}{space 2} .4166584{col 57}{space 1}   -2.14{col 66}{space 3}0.033{col 74}{space 4}-1.712985{col 87}{space 3}-.0742653
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .0003454{col 46}{space 2} .2153031{col 57}{space 1}    0.00{col 66}{space 3}0.999{col 74}{space 4}-.4230487{col 87}{space 3} .4237394
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}  .170751{col 46}{space 2} .1064656{col 57}{space 1}    1.60{col 66}{space 3}0.110{col 74}{space 4} -.038614{col 87}{space 3} .3801159
{txt}{space 29}edr {c |}{col 34}{res}{space 2} .7020766{col 46}{space 2} .2177623{col 57}{space 1}    3.22{col 66}{space 3}0.001{col 74}{space 4} .2738466{col 87}{space 3} 1.130307
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .3105683{col 46}{space 2} .1581164{col 57}{space 1}    1.96{col 66}{space 3}0.050{col 74}{space 4}-.0003679{col 87}{space 3} .6215045
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.7417408{col 46}{space 2} .3551115{col 57}{space 1}   -2.09{col 66}{space 3}0.037{col 74}{space 4}-1.440069{col 87}{space 3} -.043413
{txt}{space 32} {c |}
{space 28}pais {c |}
{space 24}Ecuador  {c |}{col 34}{res}{space 2} .0692176{col 46}{space 2} .1740295{col 57}{space 1}    0.40{col 66}{space 3}0.691{col 74}{space 4}-.2730119{col 87}{space 3} .4114472
{txt}{space 24}Bolivia  {c |}{col 34}{res}{space 2} 1.367528{col 46}{space 2} .1946753{col 57}{space 1}    7.02{col 66}{space 3}0.000{col 74}{space 4}  .984698{col 87}{space 3} 1.750357
{txt}{space 22}Venezuela  {c |}{col 34}{res}{space 2} .3428809{col 46}{space 2} .1658627{col 57}{space 1}    2.07{col 66}{space 3}0.039{col 74}{space 4} .0167114{col 87}{space 3} .6690503
{txt}{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2}-1.326458{col 46}{space 2} .3106539{col 57}{space 1}   -4.27{col 66}{space 3}0.000{col 74}{space 4} -1.93736{col 87}{space 3}-.7155566
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .1252173{col 46}{space 2} .2762592{col 57}{space 1}    0.45{col 66}{space 3}0.651{col 74}{space 4}-.4180471{col 87}{space 3} .6684817
{txt}{space 27}mujer {c |}{col 34}{res}{space 2} .2492973{col 46}{space 2} .1304081{col 57}{space 1}    1.91{col 66}{space 3}0.057{col 74}{space 4}-.0071506{col 87}{space 3} .5057452
{txt}{space 29}edr {c |}{col 34}{res}{space 2} .3066522{col 46}{space 2} .2702437{col 57}{space 1}    1.13{col 66}{space 3}0.257{col 74}{space 4}-.2247828{col 87}{space 3} .8380871
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .1599153{col 46}{space 2} .2169161{col 57}{space 1}    0.74{col 66}{space 3}0.461{col 74}{space 4}-.2666508{col 87}{space 3} .5864813
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.9344855{col 46}{space 2} .4560563{col 57}{space 1}   -2.05{col 66}{space 3}0.041{col 74}{space 4}-1.831321{col 87}{space 3}-.0376496
{txt}{space 32} {c |}
{space 28}pais {c |}
{space 24}Ecuador  {c |}{col 34}{res}{space 2} 2.005563{col 46}{space 2} .2378621{col 57}{space 1}    8.43{col 66}{space 3}0.000{col 74}{space 4} 1.537807{col 87}{space 3} 2.473319
{txt}{space 24}Bolivia  {c |}{col 34}{res}{space 2} 2.531414{col 46}{space 2} .2406321{col 57}{space 1}   10.52{col 66}{space 3}0.000{col 74}{space 4} 2.058211{col 87}{space 3} 3.004618
{txt}{space 22}Venezuela  {c |}{col 34}{res}{space 2}-1.436015{col 46}{space 2} .4979157{col 57}{space 1}   -2.88{col 66}{space 3}0.004{col 74}{space 4}-2.415167{col 87}{space 3}-.4568626
{txt}{space 32} {c |}
{space 27}_cons {c |}{col 34}{res}{space 2} -2.83789{col 46}{space 2} .3730919{col 57}{space 1}   -7.61{col 66}{space 3}0.000{col 74}{space 4}-3.571576{col 87}{space 3}-2.104203
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est3{txt} stored)
(running mlogit on estimation sample)
{res}
{txt}Survey: Multinomial logistic regression

{col 1}Number of strata{col 20}= {res}       13{txt}{col 49}Number of obs{col 67}= {res}     1,346
{txt}{col 1}Number of PSUs{col 20}= {res}      197{txt}{col 49}Population size{col 67}={res} 1,221.7109
{txt}{col 49}Design df{col 67}= {res}       184
{txt}{col 49}F({res}  18{txt},{res}    167{txt}){col 67}= {res}     10.18
{txt}{col 49}Prob > F{col 67}= {res}    0.0000

{txt}{hline 33}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 34}{c |}{col 46}  Linearized
{col 1}                            vb20{col 34}{c |}      Coef.{col 46}   Std. Err.{col 58}      t{col 66}   P>|t|{col 74}     [95% Con{col 87}f. Interval]
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Wouldn_t_vote                    {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .1618701{col 46}{space 2} .3298755{col 57}{space 1}    0.49{col 66}{space 3}0.624{col 74}{space 4}-.4889547{col 87}{space 3} .8126949
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.2593215{col 46}{space 2} .1562353{col 57}{space 1}   -1.66{col 66}{space 3}0.099{col 74}{space 4}-.5675645{col 87}{space 3} .0489215
{txt}{space 29}edr {c |}{col 34}{res}{space 2}-.1236896{col 46}{space 2} .3113962{col 57}{space 1}   -0.40{col 66}{space 3}0.692{col 74}{space 4}-.7380558{col 87}{space 3} .4906766
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.4770787{col 46}{space 2} .2503314{col 57}{space 1}   -1.91{col 66}{space 3}0.058{col 74}{space 4}-.9709677{col 87}{space 3} .0168103
{txt}{space 26}colorr {c |}{col 34}{res}{space 2} -1.00574{col 46}{space 2} .4999641{col 57}{space 1}   -2.01{col 66}{space 3}0.046{col 74}{space 4} -1.99214{col 87}{space 3}-.0193408
{txt}{space 32} {c |}
{space 28}pais {c |}
{space 23}Honduras  {c |}{col 34}{res}{space 2} 2.080064{col 46}{space 2}  .204712{col 57}{space 1}   10.16{col 66}{space 3}0.000{col 74}{space 4} 1.676179{col 87}{space 3} 2.483949
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} -.211437{col 46}{space 2}  .440775{col 57}{space 1}   -0.48{col 66}{space 3}0.632{col 74}{space 4} -1.08106{col 87}{space 3} .6581858
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Would_vote_for_the_incumbent_can{col 34}{txt}{c |}  (base outcome)
{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_vote_for_a_candidate_or_pa {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2} .0742065{col 46}{space 2} .2923169{col 57}{space 1}    0.25{col 66}{space 3}0.800{col 74}{space 4}-.5025174{col 87}{space 3} .6509305
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.3937077{col 46}{space 2} .1476026{col 57}{space 1}   -2.67{col 66}{space 3}0.008{col 74}{space 4}-.6849188{col 87}{space 3}-.1024965
{txt}{space 29}edr {c |}{col 34}{res}{space 2}  .030568{col 46}{space 2} .3349663{col 57}{space 1}    0.09{col 66}{space 3}0.927{col 74}{space 4}-.6303007{col 87}{space 3} .6914366
{txt}{space 24}quintall {c |}{col 34}{res}{space 2}-.2275931{col 46}{space 2} .2379136{col 57}{space 1}   -0.96{col 66}{space 3}0.340{col 74}{space 4}-.6969826{col 87}{space 3} .2417964
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.6399144{col 46}{space 2} .5166154{col 57}{space 1}   -1.24{col 66}{space 3}0.217{col 74}{space 4}-1.659166{col 87}{space 3} .3793371
{txt}{space 32} {c |}
{space 28}pais {c |}
{space 23}Honduras  {c |}{col 34}{res}{space 2}  .226637{col 46}{space 2} .1755494{col 57}{space 1}    1.29{col 66}{space 3}0.198{col 74}{space 4}-.1197115{col 87}{space 3} .5729854
{txt}{space 27}_cons {c |}{col 34}{res}{space 2} .7995908{col 46}{space 2} .4145235{col 57}{space 1}    1.93{col 66}{space 3}0.055{col 74}{space 4}-.0182394{col 87}{space 3} 1.617421
{txt}{hline 33}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Would_go_to_vote_but_would_leave {txt}{c |}
{space 16}authoritarianism {c |}{col 34}{res}{space 2}-.0595762{col 46}{space 2} .5692155{col 57}{space 1}   -0.10{col 66}{space 3}0.917{col 74}{space 4}-1.182605{col 87}{space 3} 1.063452
{txt}{space 27}mujer {c |}{col 34}{res}{space 2}-.0732565{col 46}{space 2} .2680219{col 57}{space 1}   -0.27{col 66}{space 3}0.785{col 74}{space 4}-.6020477{col 87}{space 3} .4555348
{txt}{space 29}edr {c |}{col 34}{res}{space 2} 1.086565{col 46}{space 2} .4980622{col 57}{space 1}    2.18{col 66}{space 3}0.030{col 74}{space 4} .1039184{col 87}{space 3} 2.069212
{txt}{space 24}quintall {c |}{col 34}{res}{space 2} .4211997{col 46}{space 2} .4415064{col 57}{space 1}    0.95{col 66}{space 3}0.341{col 74}{space 4}-.4498662{col 87}{space 3} 1.292266
{txt}{space 26}colorr {c |}{col 34}{res}{space 2}-.6633979{col 46}{space 2}  .824772{col 57}{space 1}   -0.80{col 66}{space 3}0.422{col 74}{space 4}-2.290624{col 87}{space 3} .9638282
{txt}{space 32} {c |}
{space 28}pais {c |}
{space 23}Honduras  {c |}{col 34}{res}{space 2} .4723678{col 46}{space 2} .2910539{col 57}{space 1}    1.62{col 66}{space 3}0.106{col 74}{space 4}-.1018643{col 87}{space 3}   1.0466
{txt}{space 27}_cons {c |}{col 34}{res}{space 2}-2.174828{col 46}{space 2} .6008493{col 57}{space 1}   -3.62{col 66}{space 3}0.000{col 74}{space 4}-3.360268{col 87}{space 3}-.9893885
{txt}{hline 33}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
({res}est4{txt} stored)

{com}. esttab, b(3) se(3) nopar nogaps star(+ .10 * .05) keep(authoritarianism authoritarianism mujer edr quintall colorr _cons)
{res}
{txt}{hline 68}
{txt}                      (1)           (2)           (3)           (4) 
{txt}                     vb20          vb20          vb20          vb20 
{txt}{hline 68}
{res}Wouldn_t_v~e                                                        {txt}
{txt}authoritar~m{res}        0.192        -0.656*        0.117         0.162 {txt}
            {res}        0.255         0.193         0.279         0.330 {txt}
{txt}mujer       {res}        0.153        -0.007         0.136        -0.259+{txt}
            {res}        0.119         0.091         0.133         0.156 {txt}
{txt}edr         {res}       -0.125         0.337+        0.017        -0.124 {txt}
            {res}        0.238         0.199         0.276         0.311 {txt}
{txt}quintall    {res}       -0.058        -0.437*       -0.126        -0.477+{txt}
            {res}        0.173         0.154         0.188         0.250 {txt}
{txt}colorr      {res}       -0.447         0.067        -0.051        -1.006*{txt}
            {res}        0.334         0.321         0.520         0.500 {txt}
{txt}_cons       {res}       -0.406         0.055        -0.894*       -0.211 {txt}
            {res}        0.346         0.259         0.417         0.441 {txt}
{hline 68}
{res}Would_vote~n                                                        {txt}
{txt}authoritar~m{res}        0.000         0.000         0.000         0.000 {txt}
            {res}            .             .             .             . {txt}
{txt}mujer       {res}        0.000         0.000         0.000         0.000 {txt}
            {res}            .             .             .             . {txt}
{txt}edr         {res}        0.000         0.000         0.000         0.000 {txt}
            {res}            .             .             .             . {txt}
{txt}quintall    {res}        0.000         0.000         0.000         0.000 {txt}
            {res}            .             .             .             . {txt}
{txt}colorr      {res}        0.000         0.000         0.000         0.000 {txt}
            {res}            .             .             .             . {txt}
{txt}_cons       {res}        0.000         0.000         0.000         0.000 {txt}
            {res}            .             .             .             . {txt}
{hline 68}
{res}Would_vote~a                                                        {txt}
{txt}authoritar~m{res}        0.328+       -0.444*        0.000         0.074 {txt}
            {res}        0.180         0.188         0.215         0.292 {txt}
{txt}mujer       {res}        0.093        -0.182*        0.171        -0.394*{txt}
            {res}        0.080         0.080         0.106         0.148 {txt}
{txt}edr         {res}        0.623*        0.534*        0.702*        0.031 {txt}
            {res}        0.178         0.196         0.218         0.335 {txt}
{txt}quintall    {res}        0.499*       -0.018         0.311+       -0.228 {txt}
            {res}        0.129         0.147         0.158         0.238 {txt}
{txt}colorr      {res}       -0.690*        0.086        -0.742*       -0.640 {txt}
            {res}        0.244         0.271         0.355         0.517 {txt}
{txt}_cons       {res}       -0.513*        0.076        -1.326*        0.800+{txt}
            {res}        0.251         0.243         0.311         0.415 {txt}
{hline 68}
{res}Would_go_t~e                                                        {txt}
{txt}authoritar~m{res}        0.333        -0.363         0.125        -0.060 {txt}
            {res}        0.217         0.281         0.276         0.569 {txt}
{txt}mujer       {res}        0.201*       -0.011         0.249+       -0.073 {txt}
            {res}        0.101         0.123         0.130         0.268 {txt}
{txt}edr         {res}        0.342         0.561+        0.307         1.087*{txt}
            {res}        0.245         0.324         0.270         0.498 {txt}
{txt}quintall    {res}       -0.234        -0.216         0.160         0.421 {txt}
            {res}        0.181         0.222         0.217         0.442 {txt}
{txt}colorr      {res}       -0.412         0.260        -0.934*       -0.663 {txt}
            {res}        0.386         0.460         0.456         0.825 {txt}
{txt}_cons       {res}       -1.574*       -2.069*       -2.838*       -2.175*{txt}
            {res}        0.331         0.420         0.373         0.601 {txt}
{txt}{hline 68}
{txt}N           {res}         3718          3843          3137          1346 {txt}
{txt}{hline 68}
{txt}Standard errors in second row
{txt}+ p<.10, * p<.05

{com}. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\aesmith2\Dropbox\Work\research in progress\Under review_authoritarian masses and elites\Final version\Analysis\Replication log.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}24 Oct 2016, 02:08:43
{txt}{.-}
{smcl}
{txt}{sf}{ul off}